From owner-hpff-doc Fri Aug 2 13:40:08 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id NAA29484 for hpff-doc-out; Fri, 2 Aug 1996 13:40:08 -0500 (CDT) Received: from timbuk.cray.com (root@timbuk.cray.com [128.162.19.7]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id NAA29479; Fri, 2 Aug 1996 13:40:02 -0500 (CDT) Received: from ironwood.cray.com (root@ironwood-fddi.cray.com [128.162.21.36]) by timbuk.cray.com (8.7.5/CRI-gate-8-2.11) with SMTP id NAA26569; Fri, 2 Aug 1996 13:39:11 -0500 (CDT) Received: from poplar414.cray.com (meltzer@poplar414 [128.162.149.14]) by ironwood.cray.com (8.6.12/CRI-ccm_serv-8-2.8) with ESMTP id NAA09923; Fri, 2 Aug 1996 13:39:01 -0500 From: Andy Meltzer Received: by poplar414.cray.com (8.6.12/btd-b3) id NAA00890; Fri, 2 Aug 1996 13:38:59 -0500 Message-Id: <199608021838.NAA00890@poplar414.cray.com> Subject: hpff-doc: portable.tex To: zosel@coral.llnl.gov, chk@cs.rice.edu, hpff-doc@cs.rice.edu Date: Fri, 2 Aug 1996 13:38:58 -0500 (CDT) X-Mailer: ELM [version 2.4 PL24-CRI-b] MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: portable.tex % Contents: % Portable and Efficient Constructs chapter for HPF 2.0 document, % including % Kernel HPF % FORALL examples % Revision history: % May-10-96 Created by Andy Meltzer, Cray Research % (who thought it was ``Kernel HPF'') \chapter{Portable and Efficient Constructs} \label{ch-portable} {\em Comments on this chapter should be directed to Andy Meltzer ({\tt meltzer@cray.com}), Chuck Koelbel ({\tt chk@cs.rice.edu}), and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Portable/Efficient}'' as the {\tt Subject:} line. \par } % {Coding for Portable Performance in HPF} % {Ver 1.0} % {Andrew Meltzer} % {Cray Research, Inc.} % {April, 1996} %\section{Introduction} This chapter identifies a specific set of directives and paradigms that are particularly easy to use. This set compiles to an efficient parallel program on the vast majority of platforms available. The aim of the chapter is to identify a set of features that will provide portable high performance. HPF 2.0 includes many features that offer ease of use, but the excessive overhead associated with the implementation of these features can severely compromise performance on one or more (even all for some combination of features) distributed memory parallel computers. This ``Kernel'' set of features, often referred to as the {\em HPF Kernel} is described in this chapter. The HPF Kernel is a high performance subset of HPF 2.0. The features chosen for were selected for the following reasons \begin{itemize} \item They allow high-performance across all platforms. \item On no platform are there performance ``surprises,'' Few, if any, combinations of the portable, high-performance features unexpectedly lead the user into low-performance circumstances although it is still possible for application programmers to write low-performance codes and for vendors to provide low-performance implementations. \item They are easily understood. \item They are commonly used. \item They are valuable for all platforms. \end{itemize} The features described in this chapter are also chosen to simplify the HPF model by reducing the variety of mappings to only those most commonly used and to simplify the model by removing a level of abstraction. These kernel features might be a good place to begin learning to program in HPF. The use of these features does not guarantee a high-performance application, but these features increase the likelyhood that an application will get the most out of the HPF language. These features are also described here to assist the user with an understanding of the sorts of operations that can be efficiently executed. Many vendors will have implemented many more features that execute efficiently, a description of these is available with the vendor's implementation. The chapter is organized by HPF feature. Features are listed and described as restricted, not recommended, or recommended. Restrictions are described. \section{The {\tt {DISTRIBUTE}} Directive} The {\tt {DISTRIBUTE}} directive remains mostly intact, only a few pieces of functionality are not suggested when trying to achieve portable performance. \subsection{Distribution Formats} The HPF Kernel includes only the {\tt {BLOCK}} and {\tt {CYCLIC}} and on-processor distributions. It does not include the {\tt {CYCLIC(N)}}, or {\tt {BLOCK(N)}} distributions. The effort to determine the locations of the elements in an array with the {\tt {BLOCK}} and {\tt {CYCLIC}} distribution is much less than the parameterized distributions. \subsection{On-Processor Dimensions} The ``*'' syntax is included in the {\tt {DISTRIBUTE}} directive {\em {dist-format-clause}} to indicate on-processor dimensions. This is a convenient technique for increasing locality of reference, a goal for most high performance codes. It can be accomplished efficiently with reasonable compiler effort. \section{\tt {DYNAMIC} Distributions} The {\tt {DYNAMIC}} attribute is not recommended for portable high-performance coding. These distributions have obvious merit and certain applications may require their general capabilities, but because of the inherent dynamic overhead required on even the most advanced implementations, they cannot be recommended as high-performance features. \section{The {\tt {PROCESSORS}} Directive} The {\tt {PROCESSORS}} directive is part of the HPF Kernel with the following restrictions: \begin{itemize} \item The product of the extents must exactly match the number of processors or the processor arrangement must be scalar. \item If an {\tt {ONTO}} clause is not specified, a default arrangement is provided which is identical for distributees that have identical shapes and identical explicit mappings. \end{itemize} If a processors directive is not specified a default arrangement is provided which is identical for arrays that have identical shapes, bounds, and identical explicit mapping directives. \section{The {\tt {ALIGN}} Directive} In The HPF Kernel the {\tt {ALIGN}} directive is restricted to alignments that are direct; there may be no offsets or strides within an {\tt {ALIGN}}. Replication and collapse of dimensions is allowed. In alignment expressions the dimensions may not be permuted. \begin{itemize} \item Alignments may not contain offsets or strides. \item The {\em {align-subscript-use}} in the HPF 1.1 syntax rules should be replaced with {\em {align-dummy}}. \item Dimensions may not be permuted. \item A `*' is allowed either in the align-spec or in the alignee. \end{itemize} For example the following is code will likely execute efficiently: {\tt {CHPF\$ ALIGN A(I,J) WITH B(I,J)}} But the following may not: {\tt {CHPF\$ ALIGN A(I,J) WITH B(I+1,J)}} Offsets are not suggested for the {\tt {ALIGN}} directive when coding for portable high-performance. The effect of offsets can be often be achieved by changing the bounds of arrays. The following two examples will create the same alignment. {\em {Example 2a}} \begin{verbatim} DIMENSION A(1:100), B(0:99) CHPF$ PROCESSORS P(32) CHPF$ DISTRIBUTE B(BLOCK) ONTO P CHPF$ ALIGN A(I) WITH B(I-1) ! Disallowed \end{verbatim} {\em {Example 2b}} \begin{verbatim} DIMENSION A(1:100), B(0:99) CHPF$ PROCESSORS P(32) CHPF$ DISTRIBUTE A(BLOCK) ONTO P CHPF$ DISTRIBUTE B(BLOCK) ONTO P \end{verbatim} \section{The {\tt {TEMPLATE}} Directive} The {\tt {TEMPLATE}} directive itself needs no restriction, but the use of templates is restricted by the changes to the {\tt {ALIGN}} directive. \section{The Reduction Clause in the {\tt INDEPENDENT} Directive} The reduction clause in the {\tt INDEPENDENT} directive may be used when coding for portable high-performance. The directive only pertains to intrinsic operators and types. \section{The {\tt {FORALL}} Statement and Construct} Both the {\tt FORALL} statement and construct are recommended for use when coding for portable high-performance. {\tt {FORALL}} is a powerful and expressive way to code parallelism. It is true that not all {\tt {FORALL}} statements and/or constructs can be fully parallelized, but because of their general value and because they will be part of Fortran 95, they are included in the HPF Kernel. \section{{\tt {PURE}} Functions and Subroutines} These are recommended for use when coding for portable high-performance. {\tt {PURE}} functions can do no harm, and allow an increased level of expressiveness. They simplify the job for the compiler and are part of Fortran 95. \section{The {\tt {INDEPENDENT}} Directive} The {\tt {INDEPENDENT}} directive is recommended for portable high-performance, but with some caveats. The {\tt {INDEPENDENT}} directive gives a user access to facilities otherwise not available by any means. It can be abused, however, and not all implementations may be able to handle all combinations of function calls within {\tt INDEPENDENT} loops. Care must be taken when exploiting this feature. Directives such as {\tt {INDEPENDENT}} have shown their worth historically across a broad variety of platforms. This directive simplifies the analysis the compiler must do and can inform the compiler about optimizations that it may do that otherwise are expensive or impossible to deduce. {\tt {INDEPENDENT}} allows an increased level of optimization. \section{Extrinsics and {\tt {HPF\_LOCAL}} and {\tt {HPF\_SERIAL}} } The general purpose extrinsic mechanism, {\tt {HPF\_LOCAL}} and {\tt {HPF\_SERIAL}} are all recommended for use when coding for portable high-performance. These allow a program to get at the highest performing features of a particular architecture. \section{Library} All of the HPF 1.1 library routines are recommended for use when coding for portable high-performance. The intrinsics provide fast, architecture specific versions of many very important parallel functions. To achieve a similar level of performance for these functions a user would have to write non-portable code. \section{The {\tt {INHERIT}} Directive} The {\tt {INHERIT}} directive is recommended for use when coding for portable high-performance. The {\tt {INHERIT}} directive is not a high-performance feature, but its impact can be isolated to the few places where it is very useful. The {\tt {INHERIT}} directive can be instrumental when coding library and general purpose routines. Care must be taken when using this directive as it is only a convenience feature, not a high-performance feature. \section{Pointers} When coding for portable high-performance it is recommended that a given pointer only point to identically explicitly mapped objects. \section{Subroutine Interfaces} Explicit interfaces are recommended for any subroutine which remaps data. This gives the language processor the necessary means (without interprocedural optimizations) to remap data at the call site statically, rather than dynamically at the callee. Dummy arguments from actual argument array sections cannot be mapped ``{\tt {DISTRIBUTE * ONTO *}}.'' Non-unit strides may be specified when passing array sections as actual arguments. Assumed shape explicitly mapped dummies may be used, but explicit interfaces must be included where ever they are used. Assumed shape dummies may use any mapping syntax. The results of array valued functions may be explicitly mapped. Assumed size arrays are not recommended. An explicit interface is required in the following cases: \begin{itemize} \item The dummy argument has the {\tt {INHERIT}} attribute. \item The mapping of a dummy argument is not the same as the mapping of the corresponding actual argument, and at least one of the following two conditions is true: \begin{enumerate} \item the dummy argument is explicitly mapped; \item the actual argument is an explicitly mapped whole array or a section of an explicitly mapped array. \end{enumerate} \end{itemize} Much better control of the remapping can be achieved if the explicit interface is available and much less code to check mappings and remap upon entry is necessary. \section{Storage and Sequence Association} It is not recommended that storage or sequence association be relied upon when coding for portable performance. The {\tt SEQUENCE} directive is not suggested. This means that the user should not use equivalence, common blocks must be declared identically everywhere, and no arguments may be passed with mismatched shapes. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Mon Aug 5 08:31:29 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id IAA10224 for hpff-doc-out; Mon, 5 Aug 1996 08:31:29 -0500 (CDT) Date: Mon, 5 Aug 1996 08:31:29 -0500 (CDT) Message-Id: <199608051331.IAA10224@cs.rice.edu> From: offner@hpc.pko.dec.com (Carl Offner) Subject: hpff-doc: mapping-subr.tex Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: mapping-subr.tex % Contents: % Mapping constructs for dummy arguments for HPF 2.0 document, % including % interface rules % INHERIT % the rest of pointer mappings % Revision history: % Jun-03-96 First edit by Carl Offner, Digital. % (Rearrangements, many edits, and two new sections; see % the comments at the top of the chapter.) % May-10-96 Created by Charles Koelbel, Rice University % (from HPF 1.2 document and HPF 2.0 proposals) % If you don't have LaTeX2e available, uncomment the next three lines: %\def\emph#1{{\em #1}} %\def\texttt#1{{\tt #1}} %\def\textit#1{{\it #1}} \chapter{Data Mapping in Subprogram Interfaces} \label{ch-mapping-subr} {\em Comments on this chpater should be directed to Piyush Mehrotra ({\tt pm@icase.edu}), Carl Offner ({\tt offner@hpc.pko.dec.com}), Guy Steele ({\tt Guy.Steele@east.sun.com}), and \\ {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Mapping in Subprogram Calls}'' as the {\tt Subject:} line. \par } \emph{In this chapter, phrases such as ``it is the responsibility of the subprogram to remap the argument'' are constraints on the implementation (i.e., on the generated code produced by the compiler), not on the source code produced by the programmer.} \section{Introduction} \label{mapsub:introduction} \emph{This introduction gives an overview of the ways in which mapping directives interact with argument passing to subroutines. The language used here, however, is not definitive; the subsequent sections of this chapter contain the authoritative rules.} In addition to the data mapping features described in Chapter~\ref{ch-mapping-base}, HPF allows a number of options for describing the mapping of dummy arguments to subprograms. The mapping of each such dummy argument may be related to the mapping of its associated actual argument in the calling routine (the ``caller'') in several different ways. To allow for this, mapping directives applied to dummy arguments can have three different syntactic forms: \emph{prescriptive}, \emph{descriptive}, and \emph{transcriptive}. HPF provides these three forms to allow the programmer either to specify that the data is to be left in place, or to specify that during the execution of the call to the subroutine the data must be automatically remapped into a new and presumably more efficient mapping for the duration of the subprogram's execution. The meaning of these forms is as follows: \begin{description} \item[prescriptive] The directive describes the mapping of the dummy. However, the actual as passed may not have this mapping. \emph{If it does not}, it is the responsibility of the subprogram to remap the argument as specified, and to restore the original mapping on exit. (However, see the discussion on explicit interfaces and remapping below.) Prescriptive directives are syntactically identical to directives occurring elsewhere in the program. For instance, if \texttt{A} is a dummy argument, \CODE !HPF$ DISTRIBUTE A (BLOCK, CYCLIC) \EDOC is a prescriptive directive. \item[descriptive] The directive describes the mapping of the dummy. It is the responsibility of the calling routine to insure that the actual as passed has this mapping. (Similarly, remapping to restore the original mapping on exit is also done by the caller.) Descriptive directives look like prescriptive directives, except that an asterisk precedes the description. For instance, \CODE !HPF$ DISTRIBUTE A *(BLOCK, CYCLIC) \EDOC is a descriptive directive. \item[transcriptive] The mapping is unspecified. The called subroutine must accept the mapping of the argument as it is passed. (Of course this means that the caller must pass this mapping information at run-time.) Transcriptive directives are written with a single asterisk for distributions and processor arrays; for instance \CODE !HPF$ DISTRIBUTE A * \EDOC is a transcriptive directive. The \texttt{INHERIT} directive (see Section~\ref{INHERIT-SECTION}) is used to specify a transcriptive alignment. \end{description} Both distributions and processor arrangements can be specified to be prescriptive, descriptive, or transcriptive. Alignment is more complicated, because of the need to specify the template to which the dummy is aligned. This template may be unspecified (in this case of course there is no \texttt{ALIGN} directive), in which case it is the \emph{natural template} of the dummy. (``Natural template'' is defined in Section~\ref{mapsub:templates} below.) Otherwise, one of the following disjoint possibilities must be true: \begin{itemize} \item The template is explicitly specified by a prescriptive ALIGN directive. \item The template is explicitly specified by a descriptive ALIGN directive. \item The template is \emph{inherited}. This is specified by giving the dummy the \texttt{INHERIT} attribute (described in Section~\ref{INHERIT-SECTION} below). This implicitly specifies the template to be the template with which the corresponding actual argument is ultimately aligned; further, the alignment of the dummy with that template is the same as that of the corresponding actual. This is in effect a transcriptive form of alignment. \end{itemize} This is restated more precisely in Section~\ref{mapsub:templates} below. If remapping is necessary at a procedure interface, this fact must be visible in the caller. This is a consequence of the requirements for explicit interfaces in Section~\ref{mapsub:ExplicitInterfaces}. As a result of this, an implementation may choose to have all necessary remapping done by the caller. This in effect eliminates the distinction between prescriptive and descriptive mappings, and eliminates the need for the descriptive form of the directives. While both prescriptive and descriptive syntactic forms remain in this document, and while they are each treated in this Chapter, it is fair to say that the descriptive syntax is at this point maintained for backwards compatibility, and is primarily of historic interest. \begin{users} Although it is possible to write some combinations of mapping directives that are partially prescriptive and partially transcriptive, for instance, there is probably no virtue to so doing. The point of these directives is to enable the compiler to handle any necessary remapping correctly and efficiently. Now remapping can happen for one or more of the following reasons: \begin{itemize} \item to make the alignment of the actual and the dummy agree; \item to make the distribution of the actual and the dummy agree; \item to make the processor array of the actual and the dummy agree. \end{itemize} For most machines, there is no real difference in the cost of remapping for any of these reasons. It is therefore a better practice in general to make a mapping either purely transcriptive, purely prescriptive, or purely descriptive. While transcriptive mappings can be useful in writing libraries, they impose a run-time cost on the subprogram. They should therefore be avoided in normal user code. \end{users} \section{What Remapping is Required, and Who Does It} If there is an explicit interface for the called subprogram and that interface contains prescriptive or descriptive mapping directives for a dummy argument, and if a remapping of the corresponding actual argument is necessary, the call should proceed as if the data was copied to a temporary variable to match the mapping of the dummy argument as expressed by the directives in the explicit interface. The template of the dummy will then be as declared in the interface. If in such a case, the mapping directives are descriptive, then it is the responsibility of the caller to perform the necessary remapping. That is, the caller must provide an actual argument matching such directives, so that the descriptive directives correctly describe the dummy arguments to the subprogram. \begin{implementors} In fact, an implementation may choose to have \emph{all} necessary remapping done by the caller. \end{implementors} If there is no explicit interface, then no remapping will be necessary; this is a consequence of the requirements in Section~\ref{mapsub:ExplicitInterfaces}. An overriding principle is that \emph{any remapping of arguments is not visible to the caller}. That is, when the subprogram returns and the caller resumes execution, all objects accessible to the caller after the call are mapped exactly as they were before the call. It is not possible for a subprogram to change the mapping of any object in a manner visible to its caller. \section{Distributions and Processor Arrangements} \label{mapsub:DistProcArr} In a \texttt{DISTRIBUTE} directive where every \textit{distributee} is a dummy argument, either the \textit{dist-format-clause} or the \textit{dist-target}, or both, may begin with, or consist of, an asterisk. \begin{itemize} \item Without an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is prescriptive; the clause describes a distribution and constitutes a request of the language processor to make it so. This might entail the subprogram remapping or copying the actual argument on entry at run time in order to satisfy the requested distribution for the dummy. \item Starting with an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is descriptive; the clause describes a distribution and constitutes an assertion to the language processor that on entry to the subprogram it will already be so. The programmer claims that, for every call to the subprogram, the actual argument will be such that the stated distribution already describes the mapping of that data. (The intent is that if the argument is passed by reference, no movement of the data \emph{by the subprogram} will be necessary at run time. All this is under the assumption that the language processor has observed all other directives. While a conforming HPF language processor is not required to obey mapping directives, it should handle descriptive directives with the understanding that their implied assertions are relative to this assumption.) \item Consisting of only an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is transcriptive; the clause says nothing about the distribution but constitutes a request of the language processor to copy that aspect of the distribution from that of the actual argument. (The intent is that if the argument is passed by reference, no movement of the data will be necessary at run time.) \end{itemize} It is possible that, in a single \texttt{DISTRIBUTE} directive, the \textit{dist-format-clause} might have an asterisk but not the \textit{dist-target}, or vice versa. \subsection{Examples} These examples of \texttt{DISTRIBUTE} directives for dummy arguments illustrate the various combinations: \CODE !HPF$ DISTRIBUTE URANIA (CYCLIC) ONTO GALILEO \EDOC The language processor should do whatever it takes to cause \texttt{URANIA} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{GALILEO}. \CODE !HPF$ DISTRIBUTE POLYHYMNIA * ONTO ELVIS \EDOC The language processor should do whatever it takes to cause \texttt{POLYHYMNIA} to be distributed onto the processor arrangement \texttt{ELVIS}, using whatever distribution format it currently has (which might be on some other processor arrangement). \CODE !HPF$ DISTRIBUTE THALIA *(CYCLIC) ONTO FLIP \EDOC The language processor should do whatever it takes to cause \texttt{THALIA} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{FLIP}; \texttt{THALIA} already has a cyclic distribution, though it might be on some other processor arrangement. \CODE !HPF$ DISTRIBUTE CALLIOPE (CYCLIC) ONTO *HOMER \EDOC The language processor should do whatever it takes to cause \texttt{CALLIOPE} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{HOMER}; \texttt{CALLIOPE} is already distributed onto \texttt{HOMER}, though it might be with some other distribution format. \CODE !HPF$ DISTRIBUTE MELPOMENE * ONTO *EURIPIDES \EDOC \texttt{MELPOMENE} is asserted to already be distributed onto \texttt{EURIPIDES}; use whatever distribution format the actual argument had so, if possible, no data movement should occur. \CODE !HPF$ DISTRIBUTE CLIO *(CYCLIC) ONTO *HERODOTUS \EDOC \texttt{CLIO} is asserted to already be distributed \texttt{CYCLIC} onto \texttt{HERODOTUS} so, if possible, no data movement should occur. \CODE !HPF$ DISTRIBUTE EUTERPE (CYCLIC) ONTO * \EDOC The language processor should do whatever it takes to cause \texttt{EUTERPE} to have a \texttt{CYCLIC} distribution onto whatever processor arrangement the actual was distributed onto. \CODE !HPF$ DISTRIBUTE ERATO * ONTO * \EDOC The mapping of \texttt{ERATO} should not be changed from that of the actual argument. \CODE !HPF$ DISTRIBUTE ARTHUR_MURRAY *(CYCLIC) ONTO * \EDOC \texttt{ARTHUR_MURRAY} is asserted to already be distributed \texttt{CYCLIC} onto whatever processor arrangement the actual argument was distributed onto, and no data movement should occur. Also note that \texttt{DISTRIBUTE ERATO * ONTO *} does not mean the same thing as \CODE !HPF$ DISTRIBUTE ERATO *(*) ONTO * \EDOC This latter means: \texttt{ERATO} is asserted to already be distributed \texttt{*} (that is, on-processor) onto whatever processor arrangement the actual was distributed onto. The processor arrangement is necessarily scalar in this case. \subsection{What Happens When a Clause is Omitted} One may omit either the \textit{dist-format-clause} or the \textit{dist-onto-clause} for a dummy argument. This is understood as follows: If the dummy argument has the \texttt{INHERIT} attribute (see Section~\ref{INHERIT-SECTION}), then no distribution directive is allowed in any case: the distribution as well as the alignment is inherited from the actual argument. In any other case in which distribution information is omitted, the compiler may choose the distribution format or a target processor arrangement arbitrarily. Here are two examples: \CODE !HPF$ DISTRIBUTE WHEEL_OF_FORTUNE *(CYCLIC) \EDOC \texttt{WHEEL_OF_FORTUNE} is asserted to already be \texttt{CYCLIC}. As long as it is kept \texttt{CYCLIC}, it may be remapped onto some other processor arrangement, but there is no reason to. \CODE !HPF$ DISTRIBUTE ONTO *TV :: DAVID_LETTERMAN \EDOC \texttt{DAVID_LETTERMAN} is asserted to already be distributed on \texttt{TV} in some fashion. The distribution format may be changed as long as \texttt{DAVID_LETTERMAN} is kept on \texttt{TV}. (Note that this declaration must be made in attributed form; the statement form \CODE !HPF$ DISTRIBUTE DAVID_LETTERMAN ONTO *TV !Nonconforming \EDOC does not conform to the syntax for a \texttt{DISTRIBUTE} directive.) \section{Alignment} \subsection{The Template of the Dummy Argument} \label{mapsub:templates} Here we describe precisely how the template with which the dummy argument is ultimately aligned is arrived at. First, templates are not passed through the subprogram argument interface. The template to which a dummy argument is aligned is always distinct from the template to which the actual argument is aligned, though it may be a copy (see Section \ref{INHERIT-SECTION}). On exit from a subprogram, an HPF implementation arranges that the actual argument is aligned with the same template with which it was aligned before the call. Thus, a dummy argument always has a fresh template to which it is ultimately aligned. This template is constructed in one of three ways: \begin{itemize} \item If the dummy argument appears explicitly as an \textit{alignee} in an \texttt{ALIGN} directive, its template is specified by the \textit{align-target}. \item If the dummy argument is not explicitly aligned and does not have the \texttt{INHERIT} attribute (described in Section~\ref{INHERIT-SECTION} below), then the template has the same shape and bounds as the dummy argument; this is called the \textit{natural template} for the dummy. (Thus, all the examples in Section~\ref{mapsub:DistProcArr} use the natural template.) \item If the dummy argument is not explicitly aligned and does have the \texttt{INHERIT} attribute, then the template is ``inherited'' from the actual argument according to the following rules: \begin{itemize} \item If the actual argument is a whole array, the template of the dummy is a copy of the template with which the actual argument is ultimately aligned. \item If the actual argument is an array section of array \(A\) where no subscript is a vector subscript, then the template of the dummy is a copy of the template with which \(A\) is ultimately aligned. \item If the actual argument is any other expression, the shape and distribution of the template may be chosen arbitrarily by the language processor (and therefore the programmer cannot know anything \textit{a priori} about its distribution). \end{itemize} In all of these cases, we say that the dummy has an \textit{inherited template} rather than a natural template. \end{itemize} \subsection{The INHERIT Directive} \label{INHERIT-SECTION} The \texttt{INHERIT} directive specifies that a dummy argument should be aligned to a copy of the template of the corresponding actual argument in the same way that the actual argument is aligned. \BNF inherit-directive \IS INHERIT dummy-argument-name-list \FNB The \texttt{INHERIT} directive causes the named subprogram dummy arguments to have the \texttt{INHERIT} attribute. Only dummy arguments may have the \texttt{INHERIT} attribute. An object must not have both the \texttt{INHERIT} attribute and the \texttt{ALIGN} attribute. The \texttt{INHERIT} directive may appear only in a \textit{specification-part} of a scoping unit. If a dummy argument has the \texttt{TARGET} attribute and no explicit mapping attributes, then the \texttt{INHERIT} attribute is implicitly assumed. (See section~\ref{mapsub:pointers}.) The \texttt{INHERIT} attribute specifies that the template for a dummy argument should be inherited, by making a copy of the template of the actual argument. Moreover, no other explicit mapping directive may appear for an argument with the \texttt{INHERIT} attribute: the \texttt{INHERIT} attribute implies a distribution of \texttt{DISTRIBUTE~*~ONTO~*} for the inherited template. Thus, the net effect is to tell the compiler to leave the data exactly where it is, and not attempt to remap the actual argument. The dummy argument will be mapped in exactly the same manner as the actual argument; the subprogram must be compiled in such a way as to work correctly no matter how the actual argument may be mapped onto abstract processors. \subsubsection{Examples} Here is a straightforward example of the use of \texttt{INHERIT}: \CODE REAL DOUGH(100) !HPF$ DISTRIBUTE DOUGH(BLOCK(10)) CALL PROBATE( DOUGH(7:23:2) ) ... SUBROUTINE PROBATE(BREAD) REAL BREAD(9) !HPF$ INHERIT BREAD \EDOC The inherited template of \texttt{BREAD} has shape [100]; element \texttt{BREAD(I)} is aligned with element 5 + 2*I of the inherited template, and that template has a \texttt{BLOCK(10)} distribution. More complicated examples can easily be constructed. It is important to bear in mind that the inherited template may have a different rank than the rank of the dummy, and it may even have a different rank than the rank of the actual. For instance, one might have a program containing the following: \CODE REAL A(100,100) !HPF$ TEMPLATE T(100,100,100) !HPF$ DISTRIBUTE T(BLOCK,CYCLIC,*) !HPF$ ALIGN A(I,J) with T(J,3,I) CALL SUBR(A(:,7)) ... SUBROUTINE SUBR(D) REAL D(100) !HPF$ INHERIT D \EDOC In this case, the dummy \texttt{D} has rank 1. It corresponds to a 1-dimensional section of a 2-dimensional actual \texttt{A} which in turn is aligned with a 2-dimensional section of a 3-dimensional template \texttt{T}. The ``visible'' dimension of the dummy is distributed \texttt{*}, although if the call statement had been \CODE CALL SUBR(A(7,:)) \EDOC \noindent for instance, the ``visible'' dimension of the dummy would be distributed \texttt{BLOCK}. \subsection{ALIGN Directives} The presence or absence of an asterisk at the start of an \textit{align-spec} has the same meaning as in a \textit{dist-format-clause}: it specifies whether the \texttt{ALIGN} directive is descriptive or prescriptive, respectively. If an \textit{align-spec} that does not begin with \texttt{*} is applied to a dummy argument, the meaning is that the dummy argument will be forced to have the specified alignment on entry to the subprogram. This may require either the caller or the subprogram to temporarily remap the data of the actual argument or a copy thereof. Note that a dummy argument may also be used as an \textit{align-target}. \CODE SUBROUTINE NICHOLAS(TSAR,CZAR) REAL, DIMENSION(1918) :: TSAR,CZAR !HPF$ INHERIT :: TSAR !HPF$ ALIGN WITH TSAR :: CZAR \EDOC In this example the first dummy argument, \texttt{TSAR}, remains aligned with the corresponding actual argument, while the second dummy argument, \texttt{CZAR}, is forced to be aligned with the first dummy argument. If the two actual arguments are already aligned, no remapping of the data will be required at run time. If they are not, some remapping will take place. If the \textit{align-spec} begins with ``\texttt{*}'', then the \textit{alignee} must be a dummy argument. The ``\texttt{*}'' indicates that the \texttt{ALIGN} directive constitutes a guarantee on the part of the programmer that, on entry to the subprogram, the indicated alignment will already be satisfied by the dummy argument, without any action to remap it required (on the part of the subprogram) at run time. For example: \CODE SUBROUTINE GRUNGE(PLUNGE,SPONGE) REAL PLUNGE(1000),SPONGE(1000) !HPF$ INHERIT SPONGE !HPF$ ALIGN PLUNGE WITH *SPONGE \EDOC This asserts that, for every \texttt{J} in the range \texttt{1:1000}, on entry to subroutine \texttt{GRUNGE}, the directives in the program have specified that \texttt{PLUNGE(J)} is currently mapped to the same abstract processor as \texttt{SPONGE(J)}. The intent is that if the language processor has in fact honored the directives, then no interprocessor communication on the part of the subprogram will be required to achieve the specified alignment. As usual, if an implementation performs all remapping in the caller, a prescriptive form of the \texttt{ALIGN} directive would mean exactly the same thing. It is not permitted to say simply ``\texttt{ALIGN WITH *}''; an \textit{align-target} must follow the asterisk. (The proper way to say ``accept any alignment'' is \texttt{INHERIT}.) If a dummy argument has no explicit \texttt{ALIGN} or \texttt{DISTRIBUTE} attribute, then the compiler provides an implicit alignment and distribution specification, one that could have been described explicitly without any ``assertion asterisks''. \subsubsection{Example} Without using \texttt{INHERIT}, explicit alignment of a dummy argument may be necessary to insure that no remapping takes place at the subroutine boundary. Here is an example: \CODE LOGICAL FRUG(128) !HPF$ PROCESSORS DANCE_FLOOR(16) !HPF$ DISTRIBUTE (BLOCK) ONTO DANCE_FLOOR::FRUG CALL TERPSICHORE(FRUG(1:40:3)) \EDOC The array section \texttt{FRUG(1:40:3)} is mapped onto abstract processors in the following manner: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,100){\makebox(35,25){\tt 4}} \put(0,25){\makebox(35,25){\tt 7}} \put(35,150){\makebox(35,25){\tt 10}} \put(35,75){\makebox(35,25){\tt 13}} \put(35,0){\makebox(35,25){\tt 16}} \put(70,125){\makebox(35,25){\tt 19}} \put(70,50){\makebox(35,25){\tt 22}} \put(105,175){\makebox(35,25){\tt 25}} \put(105,100){\makebox(35,25){\tt 28}} \put(105,25){\makebox(35,25){\tt 31}} \put(140,150){\makebox(35,25){\tt 34}} \put(140,75){\makebox(35,25){\tt 37}} \put(140,0){\makebox(35,25){\tt 40}} \end{picture} \end{center} Suppose first that the interface to the subroutine \texttt{TERPSICHORE} looks like this: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ INHERIT FOXTROT \EDOC The template of \texttt{FOXTROT} is a copy of the 128 element template of the whole array \texttt{TWIST}. The template is mapped like this: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,150){\makebox(35,25){\tt 2}} \put(0,125){\makebox(35,25){\tt 3}} \put(0,100){\makebox(35,25){\tt 4}} \put(0,75){\makebox(35,25){\tt 5}} \put(0,50){\makebox(35,25){\tt 6}} \put(0,25){\makebox(35,25){\tt 7}} \put(0,0){\makebox(35,25){\tt 8}} \put(35,175){\makebox(35,25){\tt 9}} \put(35,150){\makebox(35,25){\tt 10}} \put(35,125){\makebox(35,25){\tt 11}} \put(35,100){\makebox(35,25){\tt 12}} \put(35,75){\makebox(35,25){\tt 13}} \put(35,50){\makebox(35,25){\tt 14}} \put(35,25){\makebox(35,25){\tt 15}} \put(35,0){\makebox(35,25){\tt 16}} \put(70,175){\makebox(35,25){\tt 17}} \put(70,150){\makebox(35,25){\tt 18}} \put(70,125){\makebox(35,25){\tt 19}} \put(70,100){\makebox(35,25){\tt 20}} \put(70,75){\makebox(35,25){\tt 21}} \put(70,50){\makebox(35,25){\tt 22}} \put(70,25){\makebox(35,25){\tt 23}} \put(70,0){\makebox(35,25){\tt 24}} \put(105,175){\makebox(35,25){\tt 25}} \put(105,150){\makebox(35,25){\tt 26}} \put(105,125){\makebox(35,25){\tt 27}} \put(105,100){\makebox(35,25){\tt 28}} \put(105,75){\makebox(35,25){\tt 29}} \put(105,50){\makebox(35,25){\tt 30}} \put(105,25){\makebox(35,25){\tt 31}} \put(105,0){\makebox(35,25){\tt 32}} \put(140,175){\makebox(35,25){\tt 33}} \put(140,150){\makebox(35,25){\tt 34}} \put(140,125){\makebox(35,25){\tt 35}} \put(140,100){\makebox(35,25){\tt 36}} \put(140,75){\makebox(35,25){\tt 37}} \put(140,50){\makebox(35,25){\tt 38}} \put(140,25){\makebox(35,25){\tt 39}} \put(140,0){\makebox(35,25){\tt 40}} \put(175,175){\makebox(35,25){\tt 41}} \put(175,150){\makebox(35,25){\tt 42}} \put(175,125){\makebox(35,25){\tt 43}} \put(175,100){\makebox(35,25){\tt 44}} \put(175,75){\makebox(35,25){\tt 45}} \put(175,50){\makebox(35,25){\tt 46}} \put(175,25){\makebox(35,25){\tt 47}} \put(175,0){\makebox(35,25){\tt 48}} \put(210,175){\makebox(35,25){\tt 49}} \put(210,150){\makebox(35,25){\tt 50}} \put(210,125){\makebox(35,25){\tt 51}} \put(210,100){\makebox(35,25){\tt 52}} \put(210,75){\makebox(35,25){\tt 53}} \put(210,50){\makebox(35,25){\tt 54}} \put(210,25){\makebox(35,25){\tt 55}} \put(210,0){\makebox(35,25){\tt 56}} \put(245,175){\makebox(35,25){\tt 57}} \put(245,150){\makebox(35,25){\tt 58}} \put(245,125){\makebox(35,25){\tt 59}} \put(245,100){\makebox(35,25){\tt 60}} \put(245,75){\makebox(35,25){\tt 61}} \put(245,50){\makebox(35,25){\tt 62}} \put(245,25){\makebox(35,25){\tt 63}} \put(245,0){\makebox(35,25){\tt 64}} \put(280,175){\makebox(35,25){\tt 65}} \put(280,150){\makebox(35,25){\tt 66}} \put(280,125){\makebox(35,25){\tt 67}} \put(280,100){\makebox(35,25){\tt 68}} \put(280,75){\makebox(35,25){\tt 69}} \put(280,50){\makebox(35,25){\tt 70}} \put(280,25){\makebox(35,25){\tt 71}} \put(280,0){\makebox(35,25){\tt 72}} \put(315,175){\makebox(35,25){\tt 73}} \put(315,150){\makebox(35,25){\tt 74}} \put(315,125){\makebox(35,25){\tt 75}} \put(315,100){\makebox(35,25){\tt 76}} \put(315,75){\makebox(35,25){\tt 77}} \put(315,50){\makebox(35,25){\tt 78}} \put(315,25){\makebox(35,25){\tt 79}} \put(315,0){\makebox(35,25){\tt 80}} \put(350,175){\makebox(35,25){\tt 81}} \put(350,150){\makebox(35,25){\tt 82}} \put(350,125){\makebox(35,25){\tt 83}} \put(350,100){\makebox(35,25){\tt 84}} \put(350,75){\makebox(35,25){\tt 85}} \put(350,50){\makebox(35,25){\tt 86}} \put(350,25){\makebox(35,25){\tt 87}} \put(350,0){\makebox(35,25){\tt 88}} \put(385,175){\makebox(35,25){\tt 89}} \put(385,150){\makebox(35,25){\tt 90}} \put(385,125){\makebox(35,25){\tt 91}} \put(385,100){\makebox(35,25){\tt 92}} \put(385,75){\makebox(35,25){\tt 93}} \put(385,50){\makebox(35,25){\tt 94}} \put(385,25){\makebox(35,25){\tt 95}} \put(385,0){\makebox(35,25){\tt 96}} \put(420,175){\makebox(35,25){\tt 97}} \put(420,150){\makebox(35,25){\tt 98}} \put(420,125){\makebox(35,25){\tt 99}} \put(420,100){\makebox(35,25){\tt 100}} \put(420,75){\makebox(35,25){\tt 101}} \put(420,50){\makebox(35,25){\tt 102}} \put(420,25){\makebox(35,25){\tt 103}} \put(420,0){\makebox(35,25){\tt 104}} \put(455,175){\makebox(35,25){\tt 105}} \put(455,150){\makebox(35,25){\tt 106}} \put(455,125){\makebox(35,25){\tt 107}} \put(455,100){\makebox(35,25){\tt 108}} \put(455,75){\makebox(35,25){\tt 109}} \put(455,50){\makebox(35,25){\tt 110}} \put(455,25){\makebox(35,25){\tt 111}} \put(455,0){\makebox(35,25){\tt 112}} \put(490,175){\makebox(35,25){\tt 113}} \put(490,150){\makebox(35,25){\tt 114}} \put(490,125){\makebox(35,25){\tt 115}} \put(490,100){\makebox(35,25){\tt 116}} \put(490,75){\makebox(35,25){\tt 117}} \put(490,50){\makebox(35,25){\tt 118}} \put(490,25){\makebox(35,25){\tt 119}} \put(490,0){\makebox(35,25){\tt 120}} \put(525,175){\makebox(35,25){\tt 121}} \put(525,150){\makebox(35,25){\tt 122}} \put(525,125){\makebox(35,25){\tt 123}} \put(525,100){\makebox(35,25){\tt 124}} \put(525,75){\makebox(35,25){\tt 125}} \put(525,50){\makebox(35,25){\tt 126}} \put(525,25){\makebox(35,25){\tt 127}} \put(525,0){\makebox(35,25){\tt 128}} \end{picture} \end{center} \noindent \texttt{FOXTROT(I)} is aligned with element 3*I-2 of the template. Suppose on the other hand that the interface to \texttt{TERPSICHORE} looks like this: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ DISTRIBUTE FOXTROT(BLOCK) \EDOC In this case, the template of \texttt{FOXTROT} is its natural template; it has the same size 14 as \texttt{FOXTROT} itself. The actual argument, \texttt{FRUG(1:40:3)} is mapped to the 16 processors in this manner: \begin{center} \begin{tabular}{cc} Abstract & Elements \\ processor & of FRUG \\ 1 & 1, 2, 3 \\ 2 & 4, 5, 6 \\ 3 & 7, 8 \\ 4 & 9, 10, 11 \\ 5 & 12, 13, 14 \\ 6--16 & none \end{tabular} \end{center} That is, the original positions (in the template of the actual argument) of the elements of the dummy are as follows: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,100){\makebox(35,25){\tt 2}} \put(0,25){\makebox(35,25){\tt 3}} \put(35,150){\makebox(35,25){\tt 4}} \put(35,75){\makebox(35,25){\tt 5}} \put(35,0){\makebox(35,25){\tt 6}} \put(70,125){\makebox(35,25){\tt 7}} \put(70,50){\makebox(35,25){\tt 8}} \put(105,175){\makebox(35,25){\tt 9}} \put(105,100){\makebox(35,25){\tt 10}} \put(105,25){\makebox(35,25){\tt 11}} \put(140,150){\makebox(35,25){\tt 12}} \put(140,75){\makebox(35,25){\tt 13}} \put(140,0){\makebox(35,25){\tt 14}} \end{picture} \end{center} This layout (3 elements on the first processor, 3 on the second, 2 on the third, 3 on the fourth, \dots) cannot properly be described as a \texttt{BLOCK} distribution. Therefore, remapping will take place at the call. Remapping can be avoided without using \texttt{INHERIT} by explicitly aligning the dummy to a declared template of size 128 distributed \texttt{BLOCK}: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ PROCESSORS DANCE_FLOOR(16) !HPF$ TEMPLATE, DISTRIBUTE(BLOCK) ONTO DANCE_FLOOR::GURF(128) !HPF$ ALIGN FOXTROT(J) WITH GURF(3*J-2) \EDOC \begin{users} The advantage of this technique is that, where it can be used, it gives the compiler more information; this information can often be used to generate more efficient code. \end{users} \section{Explicit Interfaces} \label{mapsub:ExplicitInterfaces} An explicit interface is required \emph{except} when all four of the following conditions hold: \begin{enumerate} \item Fortran does not require one, \emph{and} \item No dummy argument is passed transcriptively or with the \texttt{INHERIT} attribute, \emph{and} \item For each pair of corresponding actual and dummy arguments, either: \begin{enumerate} \item They are both implicitly mapped, or \item They are both explicitly mapped and the conditions in Section~\ref{mapsub:NoExplicitInterface} are satisfied. \end{enumerate} \emph{and} \item For each pair of corresponding actual and dummy arguments, either: \begin{enumerate} \item Both are sequential, or \item Both are nonsequential. \end{enumerate} \end{enumerate} \begin{rationale} This has the following consequences: \begin{itemize} \item A plain Fortran program (i.e., with no HPF directives) will continue to be legal without the need to add additional interfaces. This is insured by items 1, 2, 3a, and 4a. \item If remapping is necessary, this fact will be visible to the caller. Thus the implementation may choose to have all remapping performed by the caller. \end{itemize} \end{rationale} \begin{users} This requirement pushes the user strongly in the direction of always providing explicit interfaces. This is a good thing---explicit interfaces allow many errors to be caught at compile-time and greatly speed up the process of robust software development. Note, that an explicit interface can be provided in three ways: \begin{enumerate} \item Module procedures have an explicit interface. \item Contained subprograms have an explicit interface. \item An explicit interface may be provided by an interface block. \end{enumerate} In addition, an intrinsic procedure always has an explicit interface by definition. The idiomatic Fortran way of programming makes extensive use of modules; every subroutine, for instance, can be in a module. This provides explicit interfaces automatically, with no extra effort on the part of the programmer. It should very seldom be necessary to write an interface block. \end{users} \subsection{Explicit Mappings Without an Explicit Interface} \label{mapsub:NoExplicitInterface} When there is no explicit interface, the actual and dummy arguments may still be explicitly mapped (but not transcriptively or with the \texttt{INHERIT} attribute), as long as the conditions in this section are satisfied. \begin{users} These conditions are complex. The important thing to realize is that you don't have to read any of this if you have an explicit interface. So if there is any doubt in your mind, just make sure you have an explicit interface. \end{users} \begin{enumerate} \item The actual argument must be a named object. (So for instance, the actual argument cannot be an array section.) \item The shapes of the ultimate align targets of the dummy and the actual must be the same. \item Either \begin{enumerate} \item the ultimate align targets of the dummy and actual must not have been explicitly distributed, or \item the \texttt{DISTRIBUTE} directives specified for both ultimate align targets must \begin{enumerate} \item have a \textit{dist-onto-clause} specifying processor arrangements with the same shape; and \item specify a \textit{dist-format-clause} with the same \textit{dist-format}s in corresponding positions, except that a \textit{dist-format} of \texttt{BLOCK} is regarded as the same as a \textit{dist-format} of \texttt{BLOCK(\(n\))} if the the actual blocking size of the \texttt{BLOCK} distribution has the same value as \(n\); and the same for \texttt{CYCLIC} and \texttt{CYCLIC(\(n\))}. \end{enumerate} \end{enumerate} \item Each dimension of the actual and dummy must correspond to the same dimension of their respective ultimate align targets, and corresponding elements of the actual and dummy must be aligned with the same corresponding elements of their respective ultimate align targets. \end{enumerate} \section{Restrictions on Pointers and Targets} \label{mapsub:pointers} If, on invocation of a procedure P: (a)~a dummy argument has the \texttt{TARGET} attribute, and (b)~the corresponding actual argument has the \texttt{TARGET} attribute and is not an array section with a vector subscript (and therefore is an object A or a section of an array A), then the program is not HPF-conforming unless: \begin{enumerate} \item No remapping of the actual argument occurs during the call; or \item the remainder of program execution would be unaffected if \begin{enumerate} \item each pointer associated with any portion of the dummy argument or with any portion of A during execution of P were to acquire undefined pointer association status on exit from P; and \item each pointer associated with any portion of A before the call were to acquire undefined pointer association status on entry to P and, if not reassigned during execution of P, were to be restored on exit to the pointer association status it had before entry. \end{enumerate} \end{enumerate} Note that if a dummy argument has the \texttt{TARGET} attribute and no explicit mapping attributes, then the \texttt{INHERIT} attribute is implicitly assumed (see section~\ref{INHERIT-SECTION}); therefore no remapping occurs for such a dummy argument and there is no problem. \begin{rationale} These restrictions are made in order to support the following part of the Fortran standard (in Section 12.4.1.1 of that document) in the face of implicit remapping across the subprogram interface: \begin{quote} If the dummy argument does not have the \texttt{TARGET} or \texttt{POINTER} attribute, any pointers associated with the actual argument do not become associated with the corresponding dummy argument on invocation of the procedure. If the dummy argument has the \texttt{TARGET} attribute and the corresponding actual argument has the \texttt{TARGET} attribute but is not an array section with a vector subscript: \begin{enumerate} \item Any pointers associated with the actual argument become associated with the corresponding dummy argument on invocation of the procedure. \item When execution of the procedure completes, any pointers associated with the dummy argument remain associated with the actual argument. \end{enumerate} If the dummy argument has the \texttt{TARGET} attribute and the corresponding actual argument does not have the \texttt{TARGET} attribute or is an array section with a vector subscript, any pointers associated with the dummy argument become undefined when execution of the procedure completes. \end{quote} \end{rationale} \section{Argument Passing and Sequence Association} For actual arguments in a procedure call, Fortran allows an array element (scalar) to be associated with a dummy argument that is an array. It furthermore allows the shape of a dummy argument to differ from the shape of the corresponding actual array argument, in effect reshaping the actual argument via the subroutine call. Storage sequence properties of Fortran are used to identify the values of the dummy argument. This feature, carried over from FORTRAN 77, has been widely used to pass starting addresses of subarrays, rows or columns of a larger array, to procedures. For HPF arrays that are potentially mapped across processors, this feature is not fully supported. \subsection{Sequence Association Rules} \begin{enumerate} \item When an array element or the name of an assumed-size array is used as an actual argument, the associated dummy argument must be a scalar or specified to be a sequential array. An array-element designator of a nonsequential array must not be associated with a dummy array argument. \item When an actual argument is an array or array section and the corresponding dummy argument differs from the actual argument in shape, then the dummy argument must be declared sequential and the actual array argument must be sequential. \item An object of type character (scalar or array) is nonsequential if it conforms to the requirements of Definition~\ref{seq-var} of Section~\ref{sequence-defs}. If the length of an explicit-length character dummy argument differs from the length of the actual argument, then both the actual and dummy arguments must be sequential. \item Without an explicit interface, a sequential actual may not be associated with a nonsequential dummy and a nonsequential actual may not be associated with a sequential dummy. (This item merely repeats part of Section~\ref{mapsub:ExplicitInterfaces} \end{enumerate} \subsection{Discussion of Sequence Association} When the shape of the dummy array argument and its associated actual array argument differ, the actual argument must not be an expression. There is no HPF mechanism for declaring that the value of an array-valued expression is sequential. In order to associate such an expression as an actual argument with a dummy argument of different rank, the actual argument must first be assigned to a named array variable that is forced to be sequential according to Definition~\ref{seq-var} of Section~\ref{sequence-defs}. \subsection{Examples of Sequence Association} Given the following subroutine fragment: \CODE SUBROUTINE HOME (X) DIMENSION X (20,10) \EDOC By rule 1 \CODE CALL HOME (ET (2,1)) \EDOC is legal only if \texttt{X} is declared sequential in \texttt{HOME} and \texttt{ET} is sequential in the calling routine. Likewise, by rule 2 and 4 \CODE CALL HOME (ET) \EDOC requires either that \texttt{ET} and \texttt{X} are both sequential arrays or that \texttt{ET} and \texttt{X} have the same shape and have the same sequence attribute. Rule 3 addresses a special consideration for objects of type character. Change of the length of character objects across a call, as in \CODE CHARACTER (LEN=44) one_long_word one_long_word = 'Chargoggagoggmanchaugagoggchaubunagungamaugg' CALL webster(one_long_word) SUBROUTINE webster(short_dictionary) CHARACTER (LEN=4) short_dictionary (11) !Note that short_dictionary(3) is 'agog', for example \EDOC \noindent is conceptually legal in FORTRAN 77 and Fortran 95. In HPF, both the actual argument and dummy argument must be sequential. (Chargoggagoggmanchaugagoggchaubunagungamaugg is the original Nipmuc name for what is now called Lake Webster in Massachusetts.) --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Tue Aug 6 08:11:54 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id IAA09167 for hpff-doc-out; Tue, 6 Aug 1996 08:11:54 -0500 (CDT) Received: from VNET.IBM.COM (vnet.ibm.com [199.171.26.4]) by cs.rice.edu (8.7.1/8.7.1) with SMTP id IAA09161 for ; Tue, 6 Aug 1996 08:11:50 -0500 (CDT) Received: from TOROLAB by VNET.IBM.COM (IBM VM SMTP V2R3) with BSMTP id 6430; Tue, 06 Aug 96 09:11:42 EDT Received: by TOROLAB (XAGENTA 4.0) id 0308; Tue, 6 Aug 1996 09:15:45 -0400 Received: by twinpeaks.torolab.ibm.com (AIX 3.2/UCB 5.64/4.03) id AA19224; Tue, 6 Aug 1996 09:11:38 -0400 From: (Henry Zongaro) Message-Id: <9608061311.AA19224@twinpeaks.torolab.ibm.com> Subject: hpff-doc: Interoperability with C To: hpff-doc@cs.rice.edu Date: Tue, 6 Aug 1996 09:11:36 -0400 (EDT) X-Mailer: ELM [version 2.4 PL24alpha3] Content-Type: text Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- Hello, Here's the latest draft of the Interoperability with C stuff. I wasn't sure how much of the MAP_TO would be described here and how much would be described in the general section on extrinsic interfaces; I kept the syntax of MAP_TO, but dropped the syntax for EXTERNAL_NAME. There are still many references to EXTRINSIC(C), which is no longer the correct name. I've also had a request from Michael Hennecke to split the sub-specifiers of MAP_TO into separate specifiers - so rather than specifying something like: INTEGER, MAP_TO(TYPE='int', PASSBY='ref', LAYOUT='c_array') :: I(10) we'd have INTEGER, MAP_TO('int'), PASSBY('ref'), LAYOUT('c_array') :: I(10) but that's not been incorporated. I'll describe it at the next meeting. Please check the notes to reviewers for some of the unresolved issues. Thanks, Henry %%% Start temporary stuff \newenvironment{reviewers}{\begin{list}{}{}\item[]{\it Note to reviewers.} }{{\rm ({\it End of note to reviewers.})} \end{list}} %%% End temporary stuff % interop.tex % Initial Version of June 21, 1996 % Andy Meltzer and Henry Zongaro % Version 0.1 - July 11, 1996 % Version 0.2 - August 2, 1996 \chapter{Approved Extension for HPF Interoperability with C} \label{ch-interop} {\em Comments on this chapter should be directed to Henry Zongaro ({\tt zongaro@vnet.ibm.com}), Andy Meltzer ({\tt meltzer@cray.com}) and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Interoperability}'' as the {\tt Subject:} line. \par } A common problem faced by Fortran users is the need to call procedures written in other languages, particularly those writen in C or which have interfaces that can be described by C prototypes. Although many Fortran implementations provide methods which solve this problem, these solutions are rarely portable. This section defines a method of specifying interfaces to procedures defined in C that removes most of the common obstacles to interoperability, while retaining portability. \section{Specification of Interfaces to Procedures Defined in C} \begin{reviewers} This section needs to be harmonized with the recent changes to the {\tt EXTRINSIC} attribute. \end{reviewers} If a user wishes to specify that a procedure is defined by a C procedure, this is specified with an {\it extrinsic-kind-keyword} of {\tt C}, as specified in Section ??. % \BNF % function-stuff \IS ( [ dummy-arg-name-list ] ) [ postfix ] % % subroutine-stuff \IS [ ( [ dummy-arg-list ] ) ] [ postfix ] % % postfix \IS postfix-spec [ postfix-spec ] ... % % postfix-spec \IS RESULT ( result-name ) % \OR EXTERNAL_NAME ( char-literal-constant ) % \FNB \begin{constraints} % \item A {\it postfix} shall contain no more than one of each type of % {\it postfix-spec}. % % \item {\tt RESULT} shall not be specified as part of a {\it subroutine-stmt}. % % \item {\tt EXTERNAL_NAME} shall only be specified as part of a % {\it subroutine-stmt} or {\it function-stmt} for which a % {\it prefix-spec} of {\tt EXTRINSIC(C)} has been specified. \item A function for which a {\it prefix-spec} of {\tt EXTRINSIC(C)} has been specified shall have a scalar result of type integer, real or double precision real. \item A dummy argument of a procedure for which a {\it prefix-spec} of {\tt EXTRINSIC(C)} has been specified shall not be an assumed-shape array, shall not have the {\tt POINTER} attribute, shall not have the {\tt TARGET} attribute, nor shall it have a subobject which has the {\tt POINTER} attribute. \item The bounds of a dummy argument of a procedure for which a {\it prefix-spec} of {\tt EXTRINSIC(C)} has been specified shall not be specified by specification expressions which are not constant specification expressions, nor shall the character length parameter of a dummy argument of such a procedure be specified by a specification expression which is not a constant specification expression. \item A {\it dummy-arg-list} of a subroutine which has an {\it extrinsic-kind-keyword} of {\tt C} shall not have a {\it dummy-arg} which is {\tt *} or a dummy procedure. \end{constraints} The value of the {\it char-literal-constant} in the {\tt EXTERNAL_NAME} specifier gives the name of the procedure as defined in C. This value need not be the same as the procedure name specified by the {\it function-stmt} or {\it subroutine-stmt}. If {\tt EXTERNAL_NAME} is not specified, it is as if it was specified with a value which is the same as the procedure name in lower case letters. % \begin{reviewers} % Should we force user to specify {\tt EXTERNAL_NAME}? If not, should the % folding be to lower case or upper? Although lower case folding is common in % UNIX environments, is it common elsewhere? % \end{reviewers} % Syntax rule H6?? is rewritten here: % \BNF % extrinsic-kind-keyword \IS HPF % \OR HPF_LOCAL % \OR HPF_SERIAL % \OR C % \FNB %\begin{constraints} % \item An {\it extrinsic-kind-keyword} of {\tt C} shall only be specified % as part of the {\it function-stmt} or {\it subroutine-stmt} of a % procedure that is declared to be a procedure by an interface body. % %\end{constraints} The {\tt EXTRINSIC(C)} {\it prefix-spec} helps a compiler identify a procedure that is defined in C, so that it can take appropriate steps to ensure that the procedure is invoked in the manner required by the C compiler. \begin{implementors} A vendor may feel compelled to provide support for more than one C compiler, if different C compilers available for a system provide different procedure calling conventions or different data type sizes. For instance, a vendor's compiler may provide support for an {\tt EXTRINSIC(GNU_C)} {\it prefix-spec}, or it may provide support through the use of compiler switches. \end{implementors} \section{Specification of Data Type Mappings} The {\tt MAPTO} attribute is the principle new feature which facilitates referencing procedures defined in C from within Fortran programs. It allows the user to specify conversions required to associate the actual arguments specified on the procedure reference with the formal arguments defined by the referenced procedure. The attribute has several optional specifiers. The TYPE= specifier indicates the type of the C data to which the HPF data shall be converted by the compiler; the PASSBY= specifier indicates whether a C pointer to the dummy argument needs to be passed; the LAYOUT= specifier indicates for an array whether the array element order needs to be changed from Fortran's array element ordering to C's. \BNF attr-spec \IS MAPTO ( [ TYPE= ] mapto-type-spec [ , [ PASSBY= ] passby-spec ] [ , [ LAYOUT= ] layout-spec ] ) mapto-type-spec \IS default-char-literal-constant % mapto-type-spec \IS INT % \OR LONG % \OR SHORT % \OR CHAR % \OR FLOAT % \OR DOUBLE % \OR LONG_DOUBLE % \OR CHAR_PTR % \OR struct-mapto % struct-mapto \IS ( mapto-type-spec-list ) layout-spec \IS default-char-literal-constant passby-spec \IS default-char-literal-constant \FNB \begin{constraints} \item The {\tt MAPTO} attribute shall only be specified for a dummy argument or function result variable of a function or subroutine which has an {\it extrinsic-kind-keyword} of {\tt C}. In addition, the {\tt MAPTO} attribute shall be specified for all such dummy arguments and function result variables. \item If the {\tt MAPTO} attribute is specified for a variable, the {\it mapto-type-spec} specified shall be compatible with the type of the variable. \item The {\it layout-spec} specifier of the {\tt MAPTO} attribute shall only be specified for a dummy argument which is an array. \item A {\it layout-spec} shall not be specified for an assumed-size array. \end{constraints} If the compiler is capable of representing letters in both upper and lower case, the value specified for a {\it mapto-type-spec}, {\it layout-spec} or {\it passby-spec} is without regard to case. Any blanks specified for a {\it mapto-type-spec}, {\it layout-spec} or {\it passby-spec} shall be ignored by the compiler for the purposes of determining its value. \begin{reviewers} I don't believe the following definition of {\tt C_VOID_POINTER} is going to work. This can get us to {\tt void *}, but what about {\tt int *}, {\tt float *}, etc. that might appear within {\tt struct} definitions? Or do we turn a blind eye and not support them? \end{reviewers} An implementation shall provide a module, {\tt ISO_C}, which shall define a derived type, {\tt C_VOID_POINTER}. The components of the {\tt C_VOID_POINTER} type shall be private. \begin{users} The {\tt C_VOID_POINTER} type provides a method of using {\tt void *} pointers in a program, but does not give the user any way of manipulating such a pointer in the Fortran part of the program, since I/O cannot be performed on an object with private components outside the module which defines the type, neither can the components or structure constructor of such a structure be used outside of the module which defines the type. \end{users} \begin{reviewers} I will be the first to admit that the following on mapped to types is very difficult to read. Any suggestions for improvement will be happily entertained. \end{reviewers} The values permitted for a {\it mapto-type-spec} are {\tt INT}, {\tt LONG}, {\tt SHORT}, {\tt CHAR}, {\tt FLOAT}, {\tt DOUBLE}, {\tt LONG_DOUBLE}, {\tt CHAR_PTR}, {\tt VOID_PTR} or a comma-separated list, delimited by parentheses, of values which are permitted for a {\it mapto-type-spec}. A {\it mapto-type-spec} whose value is {\tt INT}, {\tt LONG}, {\tt SHORT} or {\tt CHAR} is compatible with the intrinsic type integer. A {\it mapto-type-spec} whose value is {\tt FLOAT}, {\tt DOUBLE} or {\tt LONG_DOUBLE} is compatible with the intrinsic type real. A {\it mapto-type-spec} whose value is {\tt CHAR_PTR} is compatible with the intrinsic type character. A {\it mapto-type-spec} whose value is {\tt VOID_PTR} is compatible with the derived type {\tt C_VOID_POINTER} defined by the module {\tt ISO_C}. A {\it mapto-type-spec} which is a parenthesised list of values is compatible with a derived type if each value in the list is compatible with the corresponding components of the derived type. The values permitted for a {\it passby-spec} are {\tt VAL}, {\tt REF}, {\tt RREF}, {\tt RRREF} or {\tt RRRREF}. If the {\it passby-spec} is not specified, the value {\tt VAL} is assumed. If a {\it passby-spec} of {\tt VAL} is specified, the dummy argument shall not have the {\tt INTENT(OUT)} or {\tt INTENT(INOUT)} attribute specified. If a value of {\tt REF}, {\tt RREF}, {\tt RRREF} or {\tt RRRREF} is specified for the {\it passby-spec}, an associated actual argument shall be a variable. The value of the {\it mapto-type-spec} specified for a dummy argument in the interface body of a procedure with the {\tt EXTRINSIC(C)} {\it prefix-spec} shall be such that at least one of the permitted mapped to types is the same as the C data type of the corresponding formal argument in the C definition of the procedure (or a type that is equivalent to one of the permitted mapped to types). The C data type of a function in the C definition of a procedure shall be one of the permitted mapped to types (or a type that is equivalent to the permitted mapped to types) specified for the function result variable specified in the interface body of a function with the {\tt EXTRINSIC(C)} {\it prefix-spec}. If a subroutine has been specified with a {\it prefix-spec} of {\tt EXTRINSIC(C)}, the C definition of the procedure shall be specified with a data type of {\tt void}. \begin{reviewers} I'm not sure how the C standard describes types that are "equivalent". Anyone know the correct terminology? \end{reviewers} The permitted mapped to types of a scalar variable of intrinsic type, when the value specified for the {\tt PASSBY} keyword is {\tt VAL}: \begin{itemize} \item is {\tt int} if a {\it mapto-type-spec} of {\tt INT} is specified for the variable; \item is {\tt long} if a {\it mapto-type-spec} of {\tt LONG} is specified for the variable; \item is {\tt short} if a {\it mapto-type-spec} of {\tt SHORT} is specified for the variable; \item is {\tt char} if a {\it mapto-type-spec} of {\tt CHAR} is specified for the variable; \item is {\tt float} if a {\it mapto-type-spec} of {\tt FLOAT} is specified for the variable; \item is {\tt double} if a {\it mapto-type-spec} of {\tt DOUBLE} is specified for the variable; \item is {\tt long double} if a {\it mapto-type-spec} of {\tt LONG_DOUBLE} is specified for the variable; or \item are {\tt char *} if a {\it mapto-type-spec} of {\tt CHAR_PTR} is specified for the variable. \item is {\tt void *} if a {\it mapto-type-spec} of {\tt VOID_PTR} \end{itemize} The permitted mapped to types of an array are the same as the permitted mapped to types of a scalar variable of that type followed by a left bracket ({\tt [}), followed by the extent of the corresponding dimension of the dummy argument, following by a right bracket ({\tt ]}), for each dimension of the array. If no value is specified for the {\tt LAYOUT=} specifier, the corresponding dimensions of the dummy argument are determined from right to left; if the value C_ARRAY is specified for the {\tt LAYOUT=} specifier, the corresponding dimensions of the dummy argument are determined from left to right. The permitted mapped to types of a scalar variable of derived type are the structures whose members are of one of the permitted mapped to types of the components of the derived type. The permitted mapped to types of a dummy argument, when the value specified for the {\tt PASSBY} keyword is {\tt REF}, {\tt RREF}, {\tt RRREF} or {\tt RRRREF}, are the same as the permitted mapped to types of such a dummy argument when the {\tt PASSBY} keyword is {\tt VAL}, except that for {\tt REF} the permitted mapped to types have a single {\tt *} (asterisk) appended, for {\tt RREF} two asterisks are appended, for {\tt RRREF} three asterisks are appended, and for {\tt RRRREF} four asterisks are appended. \begin{reviewers} There was some feeling at the May meeting that permitting {\tt RREF} to help map to pointers to pointers wasn't really beneficial. Mainly, it was felt that people use things like {\tt int **p} when they want to return (or modify) a pointer to a buffer area, and that there would be no way of accessing something like that on the Fortran side via the {\tt RREF}. Opinions? \end{reviewers} If there is a mismatch between the precision, representation method, range of permitted values or storage sequence between the type of the dummy argument and the permitted mapped to type of the dummy argument, the compiler shall ensure that, for the duration of the reference to a procedure defined with an {\it extrinsic-kind-keyword} of {\tt C}, the dummy argument is represented in a manner that is compatible with the expectations of the C processor for an object of the permitted mapped to type. Upon return from the procedure, the compiler shall ensure that the value of an actual argument which is a variable is restored to the specified type and kind. \begin{users} This rule was created to ensure the portability of interoperability. However, it should be noted that for large objects, a significant overhead may be incurred if there is a mismatch between the representation method used for the data type versus the representation method used for the permitted mapped to type. \end{users} \begin{users} In some cases, this may cause the value of the actual argument to change without the value being modified by the procedure referenced. For example, \CODE PROGRAM P INTERFACE EXTRINSIC(C) SUBROUTINE C_SUB(R) REAL(KIND(1.0D0)), MAPTO('FLOAT', 'REF') :: R END SUBROUTINE C_SUB END INTERFACE REAL(KIND(0.0D0)) R = 1.0D0 + 1.0D-10 PRINT *, R CALL C_SUB(R) PRINT *, R END PROGRAM P void c_sub(float *r) { } \EDOC Might print \CODE 1.00000000050000004 1.00000000000000000 \EDOC although the value of {\tt *r} is not modified in {\tt c_sub}. \end{users} If the range of permitted values of the type and mapped to type differ and the value of the actual argument or some subobject of the actual argument is not within the permitted range of the mapped to type, the value of the associated dummy argument or subobject becomes undefined. Conversely, if the value of the dummy argument or some subobject of the dummy is not within the permitted range of values of the associated dummy argument, and the associated actual argument is a variable, the value of the associated actual argument or subobject of the actual becomes undefined. The value permitted for a {\it layout-spec} is {\tt C_ARRAY}. If no {\it layout-spec} is specified for a dummy array argument, the array element order shall be the same as that specified by Fortran. If the value of {\it layout-spec} specified is {\tt C_ARRAY}, the array element order of the array shall be transposed for the duration of the reference to the procedure. \begin{reviewers} Note that we have no way of specifying {\it layout-spec} for structure components. \end{reviewers} \subsection{Examples of Data Type Mappings} Some examples should help to clarify what sorts of C procedure definitions would be permitted given an interface body in a Fortran program. For example, the following interface body \CODE INTERFACE EXTRINSIC('C') SUBROUTINE C_SUB(I, R, DARR, STRUCT) INTEGER, MAPTO('INT') :: I REAL, MAPTO('FLOAT', PASSBY='REF') :: R REAL(KIND(1.0D0)), MAPTO('DOUBLE') :: DARR(10) TYPE DT SEQEUNCE INTEGER :: I, J END TYPE DT TYPE(DT), MAPTO('(INT, LONG)', 'REF') :: STRUCT END SUBROUTINE C_SUB END INTERFACE \EDOC could correspond to a C procedure which has the prototype \CODE void c_sub(int i, float r*, double darr[10], struct {int i, long j} *) \EDOC In the following example of the {\it layout-spec}, \CODE PROGRAM P INTERFACE EXTRINSIC('C') SUBROUTINE C_SUB(A, B) INTEGER, MAPTO('INT') :: A(2,2) INTEGER, MAPTO('INT', LAYOUT='C_ARRAY') :: B(2,2) END SUBROUTINE C_SUB END INTERFACE INTEGER :: AA(2,2), BB(2,2) CALL C_SUB(AA, BB) END PROGRAM P void c_sub(int a[2][2], b[2][2]) \EDOC the correspondence between elements of {\tt AA} and {\tt a}, and elements of {\tt BB} and {\tt b} is \CODE AA(1,1) a[0][0] BB(1,1) b[0][0] AA(2,1) a[0][1] BB(2,1) b[1][0] AA(1,2) a[1][0] BB(1,2) b[0][1] AA(2,2) a[1][1] BB(2,2) b[1][1] \EDOC \end{document} --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Wed Aug 7 15:22:18 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id PAA24743 for hpff-doc-out; Wed, 7 Aug 1996 15:22:18 -0500 (CDT) Received: from timbuk.cray.com (root@timbuk.cray.com [128.162.19.7]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id PAA24734; Wed, 7 Aug 1996 15:22:14 -0500 (CDT) Received: from ironwood.cray.com (root@ironwood-fddi.cray.com [128.162.21.36]) by timbuk.cray.com (8.7.5/CRI-gate-8-2.11) with SMTP id PAA17819; Wed, 7 Aug 1996 15:22:09 -0500 (CDT) Received: from poplar414.cray.com (meltzer@poplar414 [128.162.149.14]) by ironwood.cray.com (8.6.12/CRI-ccm_serv-8-2.8) with ESMTP id PAA03496; Wed, 7 Aug 1996 15:22:07 -0500 From: Andy Meltzer Received: by poplar414.cray.com (8.6.12/btd-b3) id PAA06357; Wed, 7 Aug 1996 15:22:02 -0500 Message-Id: <199608072022.PAA06357@poplar414.cray.com> Subject: hpff-doc: portable.tex To: hpff-doc@cs.rice.edu, chk@cs.rice.edu, zosel@coral.llnl.gov Date: Wed, 7 Aug 1996 15:22:01 -0500 (CDT) X-Mailer: ELM [version 2.4 PL24-CRI-b] MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: portable.tex % Contents: % Portable and Efficient Constructs chapter for HPF 2.0 document, % including % Kernel HPF % FORALL examples % Revision history: % May-10-96 Created by Andy Meltzer, Cray Research % (who thought it was ``Kernel HPF'') % July-?-96 (Meltzer) Cleaned it up when found out it was only a chapter. % Aug-7-96 (Meltzer) updated based on comments by Schreiber. \chapter{Portable and Efficient Constructs} \label{ch-portable} {\em Comments on this chapter should be directed to Andy Meltzer ({\tt meltzer@cray.com}), Chuck Koelbel ({\tt chk@cs.rice.edu}), and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Portable/Efficient}'' as the {\tt Subject:} line. \par } % {Coding for Portable Performance in HPF} % {Ver 1.0} % {Andrew Meltzer} % {Cray Research, Inc.} % {April, 1996} %\section{Introduction} The aim of this chapter is to identify a set of features that will provide portable high performance. It identifies a specific set of directives and paradigms that are particularly easy to use. This set compiles to an efficient parallel program on most machines. HPF 2.0 includes many features that offer ease of use, but the excessive overhead associated with the implementation of these features can severely compromise performance on one or more (even all for some combination of features) distributed memory parallel computers. This kernel set of features is often referred to as the {\em HPF Kernel}. The HPF Kernel is a high performance subset of HPF 2.0. The features chosen were selected for the following reasons \begin{itemize} \item They allow high-performance across all platforms. \item On no platform are there performance ``surprises,'' Few, if any, combinations of the portable, high-performance features unexpectedly lead the user into low-performance circumstances although it is still possible for application programmers to write low-performance codes and for vendors to provide low-performance implementations. \item They are easily understood. \item They are commonly used. \item They are valuable for all platforms. \end{itemize} HPF Kernel features simplify the HPF model by reducing the variety of mappings to only those most commonly used. These features also remove a level of abstraction. The kernel features might be a good place to begin learning to program in HPF. The use of these features does not guarantee a high-performance application, but these features increase the likelyhood that an application will get the most out of the HPF language. These features are also described here to assist the user with an understanding of the sorts of operations that can be efficiently executed. Many vendors will have implemented many more features that execute efficiently, a description of these is available with the vendor's implementation. The chapter is organized by HPF feature. Features are listed and described as restricted, not recommended, or recommended. Restrictions are described. \section{The {\tt {DISTRIBUTE}} Directive} The {\tt {DISTRIBUTE}} directive remains mostly intact, only a few pieces of functionality are not suggested when trying to achieve portable performance. \subsection{Distribution Formats} The HPF Kernel includes only the {\tt {BLOCK}} and {\tt {CYCLIC}} and on-processor distributions. It does not include the {\tt {CYCLIC(N)}}, or {\tt {BLOCK(N)}} distributions. The effort to determine the locations of the elements in an array with the {\tt {BLOCK}} and {\tt {CYCLIC}} distribution is much less than the parameterized distributions. \subsection{On-Processor Dimensions} The ``*'' syntax is included in the {\tt {DISTRIBUTE}} directive {\em {dist-format-clause}} to indicate on-processor dimensions. This is a convenient technique for increasing locality of reference, a goal for most high performance codes. It can be accomplished efficiently with reasonable compiler effort. \section{\tt {DYNAMIC} Distributions} The {\tt {DYNAMIC}} attribute is not recommended for portable high-performance coding. These distributions have obvious merit and certain applications may require their general capabilities, but because of the inherent dynamic overhead required on even the most advanced implementations, they cannot be recommended as high-performance features. \section{The {\tt {PROCESSORS}} Directive} The {\tt {PROCESSORS}} directive is part of the HPF Kernel with the following restrictions: \begin{itemize} \item The product of the extents must exactly match the number of processors or the processor arrangement must be scalar. \item If an {\tt {ONTO}} clause is not specified, a default arrangement is provided which is identical for distributees that have identical shapes and identical explicit mappings. \end{itemize} If a processors directive is not specified a default arrangement is provided which is identical for arrays that have identical shapes, bounds, and identical explicit mapping directives. \section{The {\tt {ALIGN}} Directive} In The HPF Kernel the {\tt {ALIGN}} directive is restricted to alignments that are direct; there may be no offsets or strides within an {\tt {ALIGN}}. Replication and collapse of dimensions is allowed. In alignment expressions the dimensions may not be permuted. \begin{itemize} \item Alignments may not contain offsets or strides. \item The {\em {align-subscript-use}} in the HPF 1.1 syntax rules should be replaced with {\em {align-dummy}}. \item Dimensions may not be permuted. \item A `*' is allowed either in the align-spec or in the alignee. \end{itemize} For example the following is code will likely execute efficiently: {\tt {CHPF\$ ALIGN A(I,J) WITH B(I,J)}} But the following may not: {\tt {CHPF\$ ALIGN A(I,J) WITH B(I+1,J)}} Offsets are not suggested for the {\tt {ALIGN}} directive when coding for portable high-performance. The effect of offsets can be often be achieved by changing the bounds of arrays. The following two examples will create the same alignment. {\em {Example 2a}} \begin{verbatim} DIMENSION A(1:100), B(0:99) CHPF$ PROCESSORS P(32) CHPF$ DISTRIBUTE B(BLOCK) ONTO P CHPF$ ALIGN A(I) WITH B(I-1) ! Disallowed \end{verbatim} {\em {Example 2b}} \begin{verbatim} DIMENSION A(1:100), B(0:99) CHPF$ PROCESSORS P(32) CHPF$ DISTRIBUTE A(BLOCK) ONTO P CHPF$ DISTRIBUTE B(BLOCK) ONTO P \end{verbatim} \section{The {\tt {TEMPLATE}} Directive} The {\tt {TEMPLATE}} directive itself needs no restriction, but the use of templates is restricted by the changes to the {\tt {ALIGN}} directive. \section{The Reduction Clause in the {\tt INDEPENDENT} Directive} The reduction clause in the {\tt INDEPENDENT} directive may be used when coding for portable high-performance. The directive only pertains to intrinsic operators and types. \section{The {\tt {FORALL}} Statement and Construct} Both the {\tt FORALL} statement and construct are recommended for use when coding for portable high-performance. {\tt {FORALL}} is a powerful and expressive way to code parallelism. It is true that not all {\tt {FORALL}} statements and/or constructs can be fully parallelized, but because of their general value and because they will be part of Fortran 95, they are included in the HPF Kernel. \section{{\tt {PURE}} Functions and Subroutines} These are recommended for use when coding for portable high-performance. {\tt {PURE}} functions can do no harm, and allow an increased level of expressiveness. They simplify the job for the compiler and are part of Fortran 95. \section{The {\tt {INDEPENDENT}} Directive} The {\tt {INDEPENDENT}} directive is recommended for portable high-performance, but with some caveats. The {\tt {INDEPENDENT}} directive gives a user access to facilities otherwise not available by any means. It can be abused, however, and not all implementations may be able to handle all combinations of function calls within {\tt INDEPENDENT} loops. Care must be taken when exploiting this feature. Directives such as {\tt {INDEPENDENT}} have shown their worth historically across a broad variety of platforms. This directive simplifies the analysis the compiler must do and can inform the compiler about optimizations that it may do that otherwise are expensive or impossible to deduce. {\tt {INDEPENDENT}} allows an increased level of optimization. \section{Extrinsics and {\tt {HPF\_LOCAL}} and {\tt {HPF\_SERIAL}} } The general purpose extrinsic mechanism, {\tt {HPF\_LOCAL}} and {\tt {HPF\_SERIAL}} are all recommended for use when coding for portable high-performance. These allow a program to get at the highest performing features of a particular architecture. \section{Library} All of the HPF 1.1 library routines are recommended for use when coding for portable high-performance. The intrinsics provide fast, architecture specific versions of many very important parallel functions. To achieve a similar level of performance for these functions a user would have to write non-portable code. \section{The {\tt {INHERIT}} Directive} The {\tt {INHERIT}} directive is recommended for use when coding for portable high-performance. The {\tt {INHERIT}} directive is not a high-performance feature, but its impact can be isolated to the few places where it is very useful. The {\tt {INHERIT}} directive can be instrumental when coding library and general purpose routines. Care must be taken when using this directive as it is only a convenience feature, not a high-performance feature. \section{Pointers} When coding for portable high-performance it is recommended that a given pointer only point to identically explicitly mapped objects. \section{Subroutine Interfaces} Explicit interfaces are recommended for any subroutine which remaps data. This gives the language processor the necessary means (without interprocedural optimizations) to remap data at the call site statically, rather than dynamically at the callee. Dummy arguments from actual argument array sections cannot be mapped ``{\tt {DISTRIBUTE * ONTO *}}.'' Non-unit strides may be specified when passing array sections as actual arguments. Assumed shape explicitly mapped dummies may be used, but explicit interfaces must be included where ever they are used. Assumed shape dummies may use any mapping syntax. The results of array valued functions may be explicitly mapped. Assumed size arrays are not recommended. An explicit interface is required in the following cases: \begin{itemize} \item The dummy argument has the {\tt {INHERIT}} attribute. \item The mapping of a dummy argument is not the same as the mapping of the corresponding actual argument, and at least one of the following two conditions is true: \begin{enumerate} \item the dummy argument is explicitly mapped; \item the actual argument is an explicitly mapped whole array or a section of an explicitly mapped array. \end{enumerate} \end{itemize} Much better control of the remapping can be achieved if the explicit interface is available and much less code to check mappings and remap upon entry is necessary. \section{Storage and Sequence Association} It is not recommended that storage or sequence association be relied upon when coding for portable performance. The {\tt SEQUENCE} directive is not suggested. This means that the user should not use equivalence, common blocks must be declared identically everywhere, and no arguments may be passed with mismatched shapes. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Sun Aug 11 19:19:38 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id TAA21569 for hpff-doc-out; Sun, 11 Aug 1996 19:19:38 -0500 (CDT) Received: from coral.llnl.gov (coral.llnl.gov [134.9.1.2]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id TAA21556 for ; Sun, 11 Aug 1996 19:19:34 -0500 (CDT) Received: (from zosel@localhost) by coral.llnl.gov (8.7.5/8.7.3/LLNL-Jun96) id RAA29714; Sun, 11 Aug 1996 17:19:29 -0700 (PDT) Date: Sun, 11 Aug 1996 17:19:29 -0700 (PDT) From: Mary E Zosel Message-Id: <199608120019.RAA29714@coral.llnl.gov> To: chk@rice.edu Subject: hpff-doc: new credits.tex Cc: hpff-doc@cs.rice.edu Mime-Version: 1.0 Content-Type: text/plain; charset=X-roman8 Content-Transfer-Encoding: 7bit Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: credits.tex % Contents: % Acknowledgments for HPF 2.0 document % Revision history: % May-10-96 Created by Charles Koelbel, Rice University % (copied from HPF 1.1 document) % Aug-9-96 Mary Zosel - separate out HPF2 from older stuff (to appendix) \chapter*{Acknowledgments} {\em Comments on this chapter should be directed to Mary Zosel ({\tt zosel@llnl.gov}), Charles Koelbel ({\tt chk@cs.rice.edu}), and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Acknowledgments}'' as the {\tt Subject:} line. } The High Performance Fortran Forum (HPFF) is a coalition of industrial and academic groups working to suggest a set of standard extensions to Fortran to provide the necessary information. Its intent is to develop extensions to Fortran that provide support for high performance programming on a wide variety of machines, including massively parallel SIMD and MIMD systems and vector processors. From its beginning, HPFF has included most vendors delivering parallel machines, a number of government laboratories, and university research groups. Public input has been encouraged. This document defining HPF 2.0 is the third in a series of documents resulting from the HPFF project. HPF 2.0 is intended to be a language specification portable from workstations to massively parallel supercomputers while being able to express the algorithms needed to achieve high performance on specific architectures. HPF 2.0 builds on the efforts of the previous HPFF meetings, primarily in 1992 and 1994. Specific acknowlegments for the many people who contributed to the previous versions of HPF are included in appendix \ref{old-ack}. \section{HPFF 2 Acknowledgments} \label{hpff2-ack} The HPF 2.0 version of the document was prepared during series of meetings in 1995-1996. A number of people shared technical responsibilities for the activities of these meetings: \begin{itemize} \item Ken Kennedy, Convener and Meeting Chair; \item Mary Zosel, Executive Director; \item Rob Schreiber, Organizer for Control Subgroup; \item Piyush Mehrotra and Guy Steele, Organizers for Distribution Subgroup; \item David Loveman, Organizer for External Subgroup; \item Chuck Koelbel, Editor, assisted by a hoard of screaming extras. Plus more (screaming) names will be listed here after we determine who does the work. \end{itemize} Attendence at the HPFF 2 meetings included the following people from organizations that were represented two or more times. %Attendee \hfill Organization John Levesque, Marc Baber \dotfill Applied Parallel Research \hspace{.125in} Ian Foster \dotfill Argonne National Laboratory \hspace{.125in} Jaspal Subhlok \dotfill Carneigie Mellon \hspace{.125in} Jim Cowie \dotfill Cooperating Systems \hspace{.125in} Andy Meltzer \dotfill Cray Research \hspace{.125in} Henk Sipps, Will Denissen \dotfill Delft University of Tech. \hspace{.125in} David Loveman, Carl Offner \dotfill Digital Equipment Corporation \hspace{.125in} Joel Williamson \dotfill Hewlett Packard/Convex \hspace{.125in} Henry Zongaro \dotfill IBM \hspace{.125in} Piyush Mehrotra \dotfill Institute for Computer Applications in Science \& Engineering \hspace{.125in} Mary Zosel \dotfill Lawrence Livermore National Laboratory \hspace{.125in} Robert Boland, Ralph Brickner, Joe Fasel \dotfill Los Alamos National Laboratory \hspace{.125in} J. Ramanujam, Arun Venkatachar \dotfill Louisiana State University \hspace{.125in} Steve Hammond \dotfill National Center for Atmospheric Research \hspace{.125in} Yoshiki Seo \dotfill NEC \hspace{.125in} P. Sadayappan, \dotfill Ohio State University \hspace{.125in} Larry Meadows, Zeki Bozkus \dotfill The Portland Group, Inc. \hspace{.125in} Robert Schreiber \dotfill Research Institute for Advanced Computer Science / HP \hspace{.125in} Ken Kennedy, Charles Koelbel \dotfill Rice University \hspace{.125in} Alok Choudhary, Hon Yau, Tom Haupt \dotfill Syracuse University \hspace{.125in} Guy Steele \dotfill Sun MicroSystems \hspace{.125in} Paula Vaughn \dotfill Mississippi State \hspace{.125in} Carol Munroe, Harvey Richardson \dotfill Thinking Machines Corp. \hspace{.125in} Scott Baden, Steve Fink, Jay Boisseau \dotfill University of California, San Diego \hspace{.125in} Robert Babb \dotfill University of Denver \hspace{.125in} Joel Saltz, Paul Havlak, Manuel Ujaldon \dotfill University of Maryland \hspace{.125in} Jerrold Wagener \dotfill X3J3, University of Oklahoma \hspace{.125in} Barbara Chapman, Siegfried Benkner, Guy Robinson \dotfill University of Vienna \hspace{.125in} An important activity of HPFF 2 meetings was the processing of the many items submitted for comment, correction, and interpretation. A general thanks goes to all who submitted comments and interpretation requests. The following people submitted items that resulted in changes to the document text: Yasuharu Hayashi, Michael Hennecke, Larry Meadows, Eiji Nunohiro, Carl Offner, Rob Schreiber, David Singleton, Shigeru Uzuhara, Clint Whaley, and, last, but most prolific - Henry Zongaro. Other special mention goes to Chuck Koelbel at Rice University for continued maintenance of the HPFF mailing lists. Theresa Chatman and staff at Rice University were responsible for meeting planning and organization and Danny Powell continued to handle financial details of the project. HPFF 2 received direct support for research and administrative activities from grants from ARPA, DOE, and NSF. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Sun Aug 11 19:20:40 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id TAA21632 for hpff-doc-out; Sun, 11 Aug 1996 19:20:40 -0500 (CDT) Received: from coral.llnl.gov (coral.llnl.gov [134.9.1.2]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id TAA21622 for ; Sun, 11 Aug 1996 19:20:37 -0500 (CDT) Received: (from zosel@localhost) by coral.llnl.gov (8.7.5/8.7.3/LLNL-Jun96) id RAA29723; Sun, 11 Aug 1996 17:20:34 -0700 (PDT) Date: Sun, 11 Aug 1996 17:20:34 -0700 (PDT) From: Mary E Zosel Message-Id: <199608120020.RAA29723@coral.llnl.gov> To: chk@rice.edu Subject: hpff-doc: new annex for old ack's Cc: hpff-doc@cs.rice.edu Mime-Version: 1.0 Content-Type: text/plain; charset=X-roman8 Content-Transfer-Encoding: 7bit Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: oldack-app.tex % Contents: % Old HPF Acknowlegements Appendix for HPF 2.0 document % Revision history: % Aug-1l-96 Created by Mary Zosel, LLNL % (from HPF 1.1 document) \chapter{Previous HPFF Acknowledgments} \label{oldack-app} {\em Comments on this chpater should be directed to Mary Zosel ({\tt zosel@llnl.gov}) and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Old Credits HPF}'' as the {\tt Subject:} line. \par } The current HPF 2.0 document would not have been possible without the contributions of the previous series of HPFF meetings. Following are the acknowlegements for those efforts. \section{HPFF Acknowledgements} \label{hpff-ack} Technical development for HPF 1.0 was carried out by subgroups, and was reviewed by the full committee. Many people served in positions of responsibility: \begin{itemize} \item Ken Kennedy, Convener and Meeting Chair; \item Charles Koelbel, Executive Director and Head of the FORALL Subgroup; \item Mary Zosel, Head of the Fortran 90 and Storage Association Subgroup; \item Guy Steele, Head of the Data Distribution Subgroup; \item Rob Schreiber, Head of the Intrinsics Subgroup; \item Bob Knighten, Head of the Parallel I/O Subgroup; \item Marc Snir, Head of the Extrinsics Subgroup; \item Joel Williamson and Marina Chen, Heads of the Subroutine Interface Subgroup; and \item David Loveman, Editor. \end{itemize} Geoffrey Fox convened the first HPFF meeting with Ken Kennedy and later led a group to develop benchmarks for HPF. Clemens-August Thole organized a group in Europe and was instrumental in making this an international effort. Charles Koelbel produced detailed meeting minutes that were invaluable to subgroup heads in preparing successive revisions to the draft proposal. Guy Steele developed \LaTeX\ macros for a variety of tasks, including formatting BNF grammar, Fortran code and pseudocode, and commentary material; the document would have been much less aesthetically pleasing without his efforts. Many companies, universities, and other entities supported their employees' attendance at the HPFF meetings, both directly and indirectly. The following organizations were represented at two or more meetings by the following individuals (not including those present at the first HPFF meeting in January of 1992, for which there is no accurate attendee list): %Organization \hfill Attendee Alliant Computer Systems Corporation \dotfill David Reese \hspace{.125in} Amoco Production Company \dotfill Jerrold Wagener, Rex Page \hspace{.125in} Applied Parallel Research \dotfill John Levesque, Rony Sawdayi, Gene Wagenbreth \hspace{.125in} Archipel \dotfill Jean-Laurent Philippe \hspace{.125in} CONVEX Computer Corporation \dotfill Joel Williamson \hspace{.125in} Cornell Theory Center \dotfill David Presberg \hspace{.125in} Cray Research, Inc. \dotfill Tom MacDonald, Andy Meltzer \hspace{.125in} Digital Equipment Corporation \dotfill David Loveman \hspace{.125in} Fujitsu America \dotfill Siamak Hassanzadeh, Ken Muira \hspace{.125in} Fujitsu Laboratories \dotfill Hidetoshi Iwashita \hspace{.125in} GMD-I1.T, Sankt Augustin \dotfill Clemens-August Thole \hspace{.125in} Hewlett Packard \dotfill Maureen Hoffert, Tin-Fook Ngai, Richard Schooler \hspace{.125in} IBM \dotfill Alan Adamson, Randy Scarborough, Marc Snir, Kate Stewart \hspace{.125in} Institute for Computer Applications in Science \& Engineering \dotfill Piyush Mehrotra \hspace{.125in} Intel Supercomputer Systems Division \dotfill Bob Knighten \hspace{.125in} Lahey Computer \dotfill Lev Dyadkin, Richard Fuhler, Thomas Lahey, Matt Snyder \hspace{.125in} Lawrence Livermore National Laboratory \dotfill Mary Zosel \hspace{.125in} Los Alamos National Laboratory \dotfill Ralph Brickner, Margaret Simmons \hspace{.125in} Louisiana State University \dotfill J. Ramanujam \hspace{.125in} MasPar Computer Corporation \dotfill Richard Swift \hspace{.125in} Meiko, Inc. \dotfill James Cownie \hspace{.125in} nCUBE, Inc. \dotfill Barry Keane, Venkata Konda \hspace{.125in} Ohio State University \dotfill P. Sadayappan \hspace{.125in} Oregon Graduate Institute of Science and Technology \dotfill Robert Babb II \hspace{.125in} The Portland Group, Inc. \dotfill Vince Schuster \hspace{.125in} Research Institute for Advanced Computer Science \dotfill Robert Schreiber \hspace{.125in} Rice University \dotfill Ken Kennedy, Charles Koelbel \hspace{.125in} Schlumberger \dotfill Peter Highnam \hspace{.125in} Shell \dotfill Don Heller \hspace{.125in} State University of New York at Buffalo \dotfill Min-You Wu \hspace{.125in} SunPro and Sun Microsystems \dotfill Prakash Narayan, Douglas Walls \hspace{.125in} Syracuse University \dotfill Alok Choudhary, Tom Haupt \hspace{.125in} TNO-TU Delft \dotfill Edwin Paalvast, Henk Sips \hspace{.125in} Thinking Machines Corporation \dotfill Jim Bailey, Richard Shapiro, Guy Steele \hspace{.125in} United Technologies Corporation \dotfill Richard Shapiro \hspace{.125in} University of Stuttgart \dotfill Uwe Geuder, Bernhard Woerner, Roland Zink \hspace{.125in} University of Southampton \dotfill John Merlin \hspace{.125in} University of Vienna \dotfill Barbara Chapman, Hans Zima \hspace{.125in} Yale University \dotfill Marina Chen, Aloke Majumdar \hspace{.125in} Many people contributed sections to the final language specification and HPF Journal of Development, including Alok Choudhary, Geoffrey Fox, Tom Haupt, Maureen Hoffert, Ken Kennedy, Robert Knighten, Charles Koelbel, David Loveman, Piyush Mehrotra, John Merlin, Tin-Fook Ngai, Rex Page, Sanjay Ranka, Robert Schreiber, Richard Shapiro, Marc Snir, Matt Snyder, Guy Steele, Richard Swift, Min-You Wu, and Mary Zosel. Many others contributed shorter passages and examples and corrected errors. Because public input was encouraged on electronic mailing lists, it is impossible to identify all who contributed to discussions; the entire mailing list was over 500 names long. Following are some of the active participants in the HPFF process not mentioned above: \begin{centering} \begin{tabular}{lll} N. Arunasalam & Werner Assmann & Marc Baber \\ Babak Bagheri & Vasanth Bala & Jason Behm \\ Peter Belmont & Mike Bernhardt & Keith Bierman \\ Christian Bishof & John Bolstad & William Camp \\ Duane Carbon & Richard Carpenter & Brice Cassenti \\ Doreen Cheng & Mark Christon & Fabien Coelho \\ Robert Corbett & Bill Crutchfield & J. C. Diaz \\ James Demmel & Alan Egolf & Bo Einarsson \\ Pablo Elustondo & Robert Ferrell & Rhys Francis \\ Hans-Hermann Frese & Steve Goldhaber & Brent Gorda \\ Rick Gorton & Robert Halstead & Reinhard von Hanxleden \\ Hiroki Honda & Carol Hoover & Steven Huss-Lederman \\ Ken Jacobsen & Elaine Jacobson & Behm Jason \\ Alan Karp & Ronan Keryell & Anthony Kimball \\ Ross Knippe & Bruce Knobe & David Kotz \\ Ed Krall & Tom Lake & Peter Lawrence \\ Bryan Lawver & Bruce Leasure & Stewart Levin \\ David Levine & Theodore Lewis & Woody Lichtenstein \\ Ruth Lovely & Doug MacDonald & Raymond Man \\ Stephen Mark & Philippe Marquet & Jeanne Martin \\ Oliver McBryan & Charlie McDowell & Michael Metcalf \\ Charles Mosher & Len Moss & Lenore Mullin \\ Yoichi Muraoka & Bernie Murray & Vicki Newton \\ Dale Nielsen & Kayutov Nikolay & Steve O'Neale \\ Jeff Painter & Cherri Pancake & Harvey Richardson \\ Bob Riley & Kevin Robert & Ron Schmucker \\ J.L. Schonfelder & Doug Scofield & David Serafini \\ G.M. Sigut & Anthony Skjellum & Niraj Srivastava \\ Paul St.Pierre & Nick Stanford & Mia Stephens \\ Jaspal Subhlok & Xiaobai Sun & Hanna Szoke \\ Bernard Tourancheau & Anna Tsao & Alex Vasilevsky \\ Stephen Vavasis & Arthur Veen & Brian Wake \\ Ji Wang & Karen Warren & D.C.B. Watson \\ Matthijs van Waveren & Robert Weaver & Fred Webb \\ Stephen Whitley & Michael Wolfe & Fujio Yamamoto \\ Marco Zagha \end{tabular} \end{centering} The following organizations made the language draft available by anonymous FTP access and/or mail servers: AT\&T Bell Laboratories, Cornell Theory Center, GMD-I1.T (Sankt Augustin), Oak Ridge National Laboratory, Rice University, Syracuse University, and Thinking Machines Corporation. These outlets were instrumental in distributing the document. The High Performance Fortran Forum also received a great deal of volunteer effort in nontechnical areas. Theresa Chatman and Ann Redelfs were responsible for most of the meeting planning and organization, including the first HPFF meeting, which drew over 125 people. Shaun Bonton, Rachele Harless, Rhonda Perales, Seryu Patel, and Daniel Swint helped with many logistical details. Danny Powell spent a great deal of time handling the financial details of the project. Without these people, it is unlikely that HPF would have been completed. HPFF operated on a very tight budget (in reality, it had no budget when the first meeting was announced). The first meeting in Houston was entirely financed from the conferences budget of the Center for Research on Parallel Computation, an NSF Science and Technology Center. DARPA and NSF have supported research at various institutions that have made a significant contribution towards the development of High Performance Fortran. Their sponsored projects at Rice, Syracuse, and Yale Universities were particularly influential in the HPFF process. Support for several European participants was provided by ESPRIT through projects P6643 (PPPE) and P6516 (PREPARE). %{\it Mention anybody else who gave us money here.} \section{HPFF94 Acknowledgements} \label{hpff94-ack} The HPF 1.1 version of the document was prepared during the HPFF94 series of meetings. A number of people shared technical responsibilities for the activities of the HPFF94 meetings: \begin{itemize} \item Ken Kennedy, Convener and Meeting Chair; \item Mary Zosel, Executive Director and head of CCI Group 2; \item Richard Shapiro, Head of CCI Group 1; \item Ian Foster, Head of Tasking Subgroup; \item Alok Choudhary, Head of Parallel I/O Subgroup; \item Chuck Koelbel, Head of Irregular Distributions Subgroup; \item Rob Schreiber, Head of Implementation Subgroup; \item Joel Saltz, Head of Benchmarks Subgroup; \item David Loveman, Editor, assisted by Chuck Koelbel, Rob Schreiber, Guy Steele, and Mary Zosel, section editors. \end{itemize} Attendence at the HPFF94 meetings included the following people from organizations that were represented two or more times. %Attendee \hfill Organization Don Heller \dotfill Ames Laboratory \hspace{.125in} Jerrold Wagener \dotfill Amoco Production Company \hspace{.125in} John Levesque \dotfill Applied Parallel Research \hspace{.125in} Ian Foster \dotfill Argonne National Laboratory \hspace{.125in} Terry Pratt \dotfill CESDIS/NASA Goddard \hspace{.125in} Jim Cowie \dotfill Cooperating Systems \hspace{.125in} Andy Meltzer, Jon Steidel \dotfill Cray Research, Inc. \hspace{.125in} David Loveman \dotfill Digital Equipment Corporation \hspace{.125in} Bruce Olsen \dotfill Hewlett Packard \hspace{.125in} E. Nunohiro, Satoshi Itoh \dotfill Hitachi \hspace{.125in} Henry Zongaro \dotfill IBM \hspace{.125in} Piyush Mehrotra \dotfill Institute for Computer Applications in Science \& Engineering \hspace{.125in} Bob Knighten, Roy Touzeau \dotfill Intel SSD \hspace{.125in} Mary Zosel, Bor Chan, Karen Warren \dotfill Lawrence Livermore National Laboratory \hspace{.125in} Ralph Brickner \dotfill Los Alamos National Laboratory \hspace{.125in} J. Ramanujam \dotfill Louisiana State University \hspace{.125in} Paula Vaughan, Donna Reese \dotfill Miss. State University / NSF ERC \hspace{.125in} Shoichi Sakon, Yoshiki Seo\dotfill NEC \hspace{.125in} P. Sadayappan, Chua-Huang Huang \dotfill Ohio State University \hspace{.125in} Andrew Johnson \dotfill OSF Research Institute \hspace{.125in} Chip Rodden, Jeff Vanderlip \dotfill Pacific Sierra Research \hspace{.125in} Larry Meadows, Doug Miles \dotfill The Portland Group, Inc. \hspace{.125in} Robert Schreiber \dotfill Research Institute for Advanced Computer Science \hspace{.125in} Ken Kennedy, Charles Koelbel \dotfill Rice University \hspace{.125in} Ira Baxter \dotfill Schlumberger \hspace{.125in} Alok Choudhary \dotfill Syracuse University \hspace{.125in} Guy Steele \dotfill Thinking Machines Corporation, Sun MicroSystems \hspace{.125in} Richard Shapiro \dotfill Thinking Machines Corp., Silicon Graphics Inc. \hspace{.125in} Scott Baden, Val Donaldson\dotfill University of California, San Diego \hspace{.125in} Robert Babb \dotfill University of Denver \hspace{.125in} Joel Saltz, Paul Havlak \dotfill University of Maryland \hspace{.125in} Nicole Nemer-Preece \dotfill University of Missouri-Rolla \hspace{.125in} Hans Zima, Siegfried Benkner, Thomas Fahringer \dotfill University of Vienna \hspace{.125in} An important activity of HPFF94 was the processing of the many items submitted for comment and interpretation which led to the HPF 1.1 update of the language document. A special acknowlegement goes to Henry Zongaro, IBM, for many thoughtful questions exposing dark corners of language design that were previously overlooked, and to Guy Steele, Thinking Machines/Sun Microsystems for his analysis of, and solutions for some of the thornier issues discussed. And general thanks to the people who submitted comments and interpretation requests, including: David Loveman, Michael Hennecke, James Cownie, Adam Marshall, Stephen Ehrlich, Mary Zosel, Matt Snyder, Larry Meadows, Dick Hendrickson, Dave Watson, John Merlin, Vasanth Bala, Paul.Wesson, Denis.Hugli, Stanly Steinberg, Henk Sips, Henry Zongaro, Eiji_Nunohiro, Jens Bloch Helmers, Rob Schreiber, David B. Serafini, and Allan Knies. Other special mention goes to Chuck Koelbel at Rice University for continued maintenance of the HPFF mailing lists, to Donna Reese and staff at Mississippi State University for establishing and maintaining a WWW home-page for HPFF, and to the University of Maryland for establishing a benchmark FTP site. Theresa Chatman and staff at Rice University were responsible for meeting planning and organization and Danny Powell continued to handle financial details of the project. HPFF94 received direct support for research and administrative activities from grants from ARPA, DOE, and NSF. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Mon Aug 12 17:26:10 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id RAA17159 for hpff-doc-out; Mon, 12 Aug 1996 17:26:10 -0500 (CDT) Date: Mon, 12 Aug 1996 17:26:10 -0500 (CDT) Message-Id: <199608122226.RAA17159@cs.rice.edu> From: Piyush Mehrotra To: hpff-doc@cs.rice.edu Subject: hpff-doc: mapping-base.tex Phone: (804)864-2188 Fax: (804)864-6134 WWW: http://www.icase.edu/~pm Address: ICASE MS 132C NASA Langley Research Center Hampton VA 23681 Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: mapping-base.tex % Contents: % Mapping constructs for local variables for HPF 2.0 document, % including % DISTRIBUTE % ALIGN % SEQUENCE % some of pointer mappings % equivalence of mappings % Revision history: % May-10-96 Created by Charles Koelbel, Rice University % (from HPF 1.1 document and HPF 2.0 proposals) % May-22-96 Chapter updated by Piyush Mehrotra % \chapter{Data Mapping} \label{ch-mapping-base} {\em Comments on this chapter should be directed to Piyush Mehrotra ({\tt pm@icase.edu}), Carl Offner ({\tt offner@hpc.pko.dec.com}), Guy Steele ({\tt Guy.Steele@east.sun.com}) and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Mapping}'' as the {\tt Subject:} line. \par } {\em This chapter is based on the old chapter on Data Mappings. I have removed all references to dynamic remapping of data ({\tt DYNAMIC, REDISTRIBUTE} and {\tt REALIGN}), including those in the model section. Also removed all references to mapping of aggregate covers and sequential objects from t eh section on storage and sequence association. I have also replaced all references to Fortran 90 with plain Fortran. -- PM} HPF data alignment and distributions directives allow the programmer to advise the compiler how to assign array elements to processor memories. This chapter discusses the basic data mapping features applicable, particularly those that are meaningful within a single scoping unit. Chapter~\ref{ch-mapping-subr} will discuss mapping features that apply when mapped variables are passed as subprogram arguments. \section{Model} HPF adds directives to Fortran to allow the user to advise the compiler on the allocation of data objects to processor memories. The model is that there is a two-level mapping of data objects to memory regions, referred to as ``abstract processors.'' Data objects (typically array elements) are first {\it aligned} relative to one another; this group of arrays is then {\it distributed} onto a rectilinear arrangement of abstract processors. (The implementation then uses the same number, or perhaps some smaller number, of physical processors to implement these abstract processors. This mapping of abstract processors to physical processors is implementation-dependent.) The following diagram illustrates the model: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(600,240)(0,30) \thicklines \put(100,150){\circle{50}} \put(242,150){\circle{50}} \put(383,150){\circle{50}} \put(525,150){\circle{50}} \put(125,150){\vector(1,0){92}} \put(267,150){\vector(1,0){91}} \put(408,150){\vector(1,0){92}} \put(56,190){\shortstack{Arrays or\strut\\other objects\strut}} \put(192,190){\shortstack{Group of\strut\\aligned objects\strut}} \put(328,190){\shortstack{Abstract\strut\\processors as a\strut \\user-declared\strut\\Cartesian mesh\strut}} \put(494,190){\shortstack{Physical\strut\\processors\strut}} \put(150,100){\tt ALIGN} \put(270,100){\tt DISTRIBUTE} \put(400,50){\shortstack{Optional\strut\\implementation-\strut \\dependent\strut\\directive\strut}} \end{picture} \end{center} The underlying assumptions are that an operation on two or more data objects is likely to be carried out much faster if they all reside in the same processor, and that it may be possible to carry out many such operations concurrently if they can be performed on different processors. Fortran provides a number of features, notably array syntax, that make it easy for a compiler to determine that many operations may be carried out concurrently. The HPF directives provide a way to inform the compiler of the recommendation that certain data objects should reside in the same processor: if two data objects are mapped (via the two-level mapping of alignment and distribution) to the same abstract processor, it is a strong recommendation to the implementation that they ought to reside in the same physical processor. There is also a provision for recommending that a data object be stored in multiple locations, which may complicate any updating of the object but makes it faster for multiple processors to read the object. There is a clear separation between directives that serve as specification statements and directives that serve as executable statements (in the sense of the Fortran standards). Specification statements are carried out on entry to a program unit, as if all at once; only then are executable statements carried out. (While it is often convenient to think of specification statements as being handled at compile time, some of them contain specification expressions, which are permitted to depend on run-time quantities such as dummy arguments, and so the values of these expressions may not be available until run time, specifically the very moment that program control enters the scoping unit.) The basic concept is that every array (indeed, every object) is created with {\em some\/} alignment to an entity, which in turn has {\em some\/} distribution onto {\em some\/} arrangement of abstract processors. If the specification statements contain explicit specification directives specifying the alignment of an array {\tt A} with respect to another array {\tt B}, then the distribution of {\tt A} will be dictated by the distribution of {\tt B}; otherwise, the distribution of {\tt A} itself may be specified explicitly. In either case, any such explicit declarative information is used when the array is created. \begin{implementors} This model gives a better picture of the actual amount of work that needs to be done than a model that says ``the array is created in some default location, and then realigned and/or redistributed if there is an explicit directive.'' Using {\tt ALIGN} and {\tt DISTRIBUTE} specification directives doesn't have to cause any more work at run time than using the implementation defaults. \end{implementors} In the case of an allocatable object, we say that the object is created whenever it is allocated. Specification directives for allocatable objects may appear in the {\it specification-part} of a program unit, but take effect each time the array is created, rather than on entry to the scoping unit. Alignment is considered an {\em attribute\/} (in the Fortran sense) of a data object. If an object {\tt A} is aligned with an object {\tt B}, which in turn is already aligned to an object {\tt C}, this is regarded as an alignment of {\tt A} with {\tt C} directly, with {\tt B} serving only as an intermediary at the time of specification. We say that {\tt A} is {\it immediately aligned} with {\tt B} but {\it ultimately aligned} with {\tt C}. If an object is not explicitly aligned with another object, we say that it is ultimately aligned with itself. The alignment relationships form a tree with everything ultimately aligned to the object at the root of the tree; however, the tree is always immediately ``collapsed'' so that every object is related directly to the root. Every object which is the root of an alignment tree has an associated {\em template\/} or index space. Typically, this template has the same rank and size in each dimension as the object associated with it. (The most important exception to this rule is dummy arguments with the {\tt INHERIT} attribute, described in Section~\ref{INHERIT-SECTION}.) We often refer to ``the template for an array,'' which means the template of the object to which the array is ultimately aligned. (When an explicit {\tt TEMPLATE} (see Section~\ref{TEMPLATE-SECTION}) is used, this may be simply the template to which the array is explicitly aligned.) The {\em distribution\/} step of the HPF model technically applies to the template of an array, although because of the close relationship noted above we often speak loosely of the distribution of an array. Distribution partitions the template among a set of abstract processors according to a given pattern. The combination of alignment (from arrays to templates) and distribution (from templates to processors) thus determines the relationship of an array to the processors; we refer to this relationship as the {\em mapping\/} of the array. (These remarks also apply to a scalar, which may be regarded as having an index space whose sole position is indicated by an empty list of subscripts.) Every object is created as if according to some complete set of specification directives; if the program does not include complete specifications for the mapping of some object, the compiler provides defaults. By default an object is not aligned with any other object; it is ultimately aligned with itself. The default distribution is implementation-dependent, but must be expressible as explicit directives for that implementation. Identically declared objects need not be provided with identical default distribution specifications; the compiler may, for example, take into account the contexts in which objects are used in executable code. The programmer may force identically declared objects to have identical distributions by specifying such distributions explicitly. (On the other hand, identically declared processor arrangements {\it are} guaranteed to represent ``the same processors arranged the same way.'' This is discussed in more detail in Section~\ref{PROCESSORS-SECTION}.) Sometimes it is desirable to consider a large index space with which several smaller arrays are to be aligned, but not to declare any array that spans the entire index space. HPF allows one to declare a {\tt TEMPLATE}, which is like an array whose elements have no content and therefore occupy no storage; it is merely an abstract index space that can be distributed and with which arrays may be aligned. An object is considered to be {\it explicitly mapped} if it appears in an HPF mapping directive within the scoping unit in which it is declared; otherwise it is {\it implicitly mapped}. A mapping directive is an {\tt ALIGN}, or {\tt DISTRIBUTE}, or {\tt INHERIT} directive, or any directive that confers an alignment, a distribution, or the {\tt INHERIT} attribute. {\em Question: how do we handle mapping directives which occur in the approved extensions, e.g., dynamic, redistribute, realign, range, etc.} \section{Syntax of Data Alignment and Distribution Directives} Specification directives in HPF have two forms: specification statements, analogous to the {\tt DIMENSION} and {\tt ALLOCATABLE} statements of Fortran; and an attribute form analogous to type declaration statements in Fortran using the ``{\tt ::}'' punctuation. The attribute form allows more than one attribute to be described in a single directive. HPF goes beyond Fortran in not requiring that the first attribute, or indeed any of them, be a type specifier. \BNF combined-directive \IS combined-attribute-list :: combined-decl-list combined-attribute \IS ALIGN align-attribute-stuff \OR DISTRIBUTE dist-attribute-stuff \OR INHERIT \OR TEMPLATE \OR PROCESSORS \OR DIMENSION ( explicit-shape-spec-list ) combined-decl-list \IS hpf-entity [(explicit-shape-spec-list)] \OR object-name hpf-entity \IS processors-name \OR template-name \FNB The {\tt INHERIT} attribute is related to subroutine call conventions and will be discussed in Section~\ref{ch-mapping-subr}. \begin{constraints} \item The same {\it combined-attribute} must not appear more than once in a given {\it combined-directive}. \item If the {\tt DIMENSION} attribute appears in a {\it combined-directive}, any entity to which it applies must be declared with the HPF {\tt TEMPLATE} or {\tt PROCESSORS} type specifier. \end{constraints} The following rules constrain the declaration of various attributes, whether in separate directives or in a combined-directive. If the {\tt DISTRIBUTE} attribute is present, then every name declared in the {\it combined-decl-list} is considered to be a {\it distributee} and is subject to the constraints listed in section~\ref{DISTRIBUTE-SECTION}. If the {\tt ALIGN} attribute is present, then every name declared in the {\it entity-decl-list} is considered to be an {\it alignee} and is subject to the constraints listed in section~\ref{ALIGN-SECTION}. The HPF keywords {\tt PROCESSORS} and {\tt TEMPLATE} play the role of type specifiers in declaring processor arrangements and templates. The HPF keywords {\tt ALIGN}, {\tt DISTRIBUTE}, and {\tt INHERIT} play the role of attributes. Attributes referring to processor arrangements, to templates, or to entities with other types (such as {\tt REAL}) may be combined in an HPF directive without having the type specifier appear. No entity may be given a particular attribute more than once. Dimension information may be specified after an {\it hpf-entity} or in a {\tt DIMENSION} attribute. If both are present, the one after the {\it object-name} overrides the {\tt DIMENSION} attribute (this is consistent with the Fortran standard). For example, in: \CODE !HPF$ TEMPLATE,DIMENSION(64,64) :: A,B,C(32,32),D \EDOC {\tt A}, {\tt B}, and {\tt D} are \( 64 \times 64 \) templates; {\tt C} is \( 32 \times 32 \). Directives mapping a variable must be in the same scoping unit where the variable is declared. If a specification expression includes a reference to the value of an element of an array specified in the same specification-part, any explicit mapping or {\tt INHERIT} attribute for the array must be completely specified in prior specification-directives. (This restriction is inspired by and extends section 7.1.6.2 of the Fortran standard, which states in part: If a specification expression includes a reference to the value of an element of an array specified in the same specification-part, the array bounds must be specified in a prior declaration.) A comment on asterisks: The asterisk character ``{\tt *}'' appears in the syntax rules for HPF alignment and distribution directives in three distinct roles: \begin{itemize} \item When a lone asterisk appears as a member of a parenthesized list, it indicates either a collapsed mapping, wherein many elements of an array may be mapped to the same abstract processor, or a replicated mapping, wherein each element of an array may be mapped to many abstract processors. See the syntax rules for {\it align-source} and {\it align-subscript} (see Section \ref{ALIGN-SECTION}) and for {\it dist-format} (see Section \ref{DISTRIBUTE-SECTION}). \item When an asterisk appears in an {\it align-subscript-use} expression, it represents the usual integer multiplication operator. \item When an asterisk appears before a left parenthesis ``{\tt (}'' or after the keyword {\tt WITH} or {\tt ONTO}, it indicates that the directive constitutes an assertion about the {\it current} mapping of a dummy argument on entry to a subprogram, rather than a request for a {\it desired} mapping of that dummy argument. This use of the asterisk may appear {\it only} in directives that apply to dummy arguments (see Chapter~\ref{ch-mapping-subr}). \end{itemize} The first two of these uses are discussed in this chapter. The last is a subprogram interface issue and will be detailed in Chapter~\ref{ch-mapping-subr}. \section{DISTRIBUTE Directive} \label{DISTRIBUTE-SECTION} The {\tt DISTRIBUTE} directive specifies a mapping of data objects to abstract processors in a processor arrangement. For example, \CODE REAL SALAMI(10000) !HPF$ DISTRIBUTE SALAMI(BLOCK) \EDOC specifies that the array {\tt SALAMI} should be distributed across some set of abstract processors by slicing it uniformly into blocks of contiguous elements. If there are 50 processors, the directive implies that the array should be divided into groups of 200 elements, with {\tt SALAMI(1:200)} mapped to the first processor, {\tt SALAMI(201:400)} mapped to the second processor, and so on. If there is only one processor, the entire array is mapped to that processor as a single block of 10000 elements. The block size may be specified explicitly: \CODE REAL WEISSWURST(10000) !HPF$ DISTRIBUTE WEISSWURST(BLOCK(256)) \EDOC This specifies that groups of exactly 256 elements should be mapped to successive abstract processors. (There must be at least \( \lceil 10000/256 \rceil = 40 \) abstract processors if the directive is to be satisfied. The fortieth processor will contain a partial block of only 16 elements, namely {\tt WEISSWURST(9985:10000)}.) HPF also provides a cyclic distribution format: \CODE REAL DECK_OF_CARDS(52) !HPF$ DISTRIBUTE DECK_OF_CARDS(CYCLIC) \EDOC If there are 4 abstract processors, the first processor will contain {\tt DECK_OF_CARDS(1:49:4)}, the second processor will contain {\tt DECK_OF_CARDS(2:50:4)}, the third processor will contain {\tt DECK_OF_CARDS(3:51:4)}, and the fourth processor will contain {\tt DECK_OF_CARDS(4:52:4)}. Successive array elements are dealt out to successive abstract processors in round-robin fashion. Distributions may be specified independently for each dimension of a multidimensional array: \CODE INTEGER CHESS_BOARD(8,8), GO_BOARD(19,19) !HPF$ DISTRIBUTE CHESS_BOARD(BLOCK, BLOCK) !HPF$ DISTRIBUTE GO_BOARD(CYCLIC,*) \EDOC The {\tt CHESS_BOARD} array will be carved up into contiguous rectangular patches, which will be distributed onto a two-dimensional arrangement of abstract processors. The {\tt GO_BOARD} array will have its rows distributed cyclically over a one-dimensional arrangement of abstract processors. (The ``{\tt *}'' specifies that {\tt GO_BOARD} is not to be distributed along its second axis; thus an entire row is to be distributed as one object. This is sometimes called ``on-processor'' distribution.) The {\tt DISTRIBUTE} directive may appear only in the {\it specification-part} of a scoping unit and can contain only a {\it specification-expr} as the argument to a {\tt BLOCK} or {\tt CYCLIC} option. Formally, the syntax of the {\tt DISTRIBUTE} directive is: \BNF distribute-directive \IS DISTRIBUTE distributee dist-directive-stuff dist-directive-stuff \IS dist-format-clause [ dist-onto-clause ] dist-attribute-stuff \IS dist-directive-stuff \OR dist-onto-clause distributee \IS object-name \OR template-name dist-format-clause \IS ( dist-format-list ) \OR * ( dist-format-list ) \OR * dist-format \IS BLOCK [ ( int-expr ) ] \OR CYCLIC [ ( int-expr ) ] \OR * dist-onto-clause \IS ONTO dist-target dist-target \IS processors-name \OR * processors-name \OR * \FNB The full syntax is given here for completeness, however some of the forms will only be discussed in Chapter~\ref{ch-mapping-subr}. These ``interprocedural'' forms are: \begin{itemize} \item The last two options of rule~\ref{dist-format-clause-rule} (containing the {\tt *} form) \item The last two options of rule~\ref{dist-target-rule} (containing the {\tt *} form) \end{itemize} \begin{constraints} \item An {\it object-name} mentioned as a {\it distributee} must be a simple name and not a subobject designator. \item An {\it object-name} mentioned as a {\it distributee} may not appear as an {\it alignee}. \item An {\it object-name} mentioned as a {\it distributee} may not have the {\tt POINTER} attribute. \item If a {\it dist-format-list} is specified, its length must equal the rank of each {\it distributee}. \item If both a {\it dist-format-list} and a {\it processors-name} appear, the number of elements of the {\it dist-format-list} that are not ``{\tt *}'' must equal the rank of the named processor arrangement. \item If a {\it processors-name} appears but not a {\it dist-format-list}, the rank of each {\it distributee} must equal the rank of the named processor arrangement. \item If either the {\it dist-format-clause} or the {\it dist-target} in a {\tt DISTRIBUTE} directive begins with ``{\tt *}'' then every {\it distributee} must be a dummy argument. \item Any {\it int-expr} appearing in a {\it dist-format} of a {\tt DISTRIBUTE} directive must be a {\it specification-expr}. \end{constraints} Note that the possibility of a {\tt DISTRIBUTE} directive of the form \ICODE !HPF$ DISTRIBUTE dist-attribute-stuff :: distributee-list \EDOC is covered by syntax rule \ref{combined-directive-rule} for a {\it combined-directive}. Examples: \CODE !HPF$ DISTRIBUTE D1(BLOCK) !HPF$ DISTRIBUTE (BLOCK,*,BLOCK) ONTO SQUARE:: D2,D3,D4 \EDOC The meanings of the alternatives for {\it dist-format} are given below. Define the ceiling division function {\tt CD(J,K)~=~(J+K-1)/K} (using Fortran integer arithmetic with truncation toward zero.) Define the ceiling remainder function {\tt CR(J,K)~=~J-K*CD(J,K)}. The dimensions of a processor arrangement appearing as a {\it dist-target} are said to {\it correspond} in left-to-right order with those dimensions of a {\it distributee} for which the corresponding {\it dist-format} is not {\tt *}. In the example above, processor arrangement {\tt SQUARE} must be two-dimensional; its first dimension corresponds to the first dimensions of {\tt D2}, {\tt D3}, and {\tt D4} and its second dimension corresponds to the third dimensions of {\tt D2}, {\tt D3}, and {\tt D4}. Let \(d\) be the size of a {\it distributee} in a certain dimension and let \(p\) be the size of the processor arrangement in the corresponding dimension. For simplicity, assume all dimensions have a lower bound of 1. Then {\tt BLOCK(\(m\))} means that a {\it distributee} position whose index along that dimension is \(j\) is mapped to an abstract processor whose index along the corresponding dimension of the processor arrangement is {\tt CD(\(j\),\(m\))} (note that \(m \times p \geq d\) must be true), and is position number {\tt \(m\)+CR(\(j\),\(m\))} among positions mapped to that abstract processor. The first {\it distributee} position in abstract processor \(k\) along that axis is position number {\tt 1+\(m\)*(\(k\)-1)}. The block size \(m\) must be a positive integer. {\tt BLOCK} by definition means the same as {\tt BLOCK(CD(\(d\),\(p\)))}. {\tt CYCLIC(\(m\))} means that a {\it distributee} position whose index along that dimension is \(j\) is mapped to an abstract processor whose index along the corresponding dimension of the processor arrangement is {\tt 1+MODULO(CD(\(j\),\(m\))-1,\(p\))}. The first {\it distributee} position in abstract processor \(k\) along that axis is position number {\tt 1+\(m\)*(\(k\)-1)}. The block size \(m\) must be a positive integer. {\tt CYCLIC} by definition means the same as {\tt CYCLIC(1)}. {\tt CYCLIC(\(m\))} and {\tt BLOCK(\(m\))} imply the same distribution when \( m \times p \geq d \), but {\tt BLOCK(\(m\))} additionally asserts that the distribution will not wrap around in a cyclic manner, which a compiler cannot determine at compile time if \(m\) is not constant. Note that {\tt CYCLIC} and {\tt BLOCK} (without argument expressions) do not imply the same distribution unless \( p \geq d \), a degenerate case in which the block size is 1 and the distribution does not wrap around. Suppose that we have 16 abstract processors and an array of length 100: \CODE !HPF$ PROCESSORS SEDECIM(16) REAL CENTURY(100) \EDOC Distributing the array {\tt BLOCK} (which in this case would mean the same as {\tt BLOCK(7)}): \CODE !HPF$ DISTRIBUTE CENTURY(BLOCK) ONTO SEDECIM \EDOC results in this mapping of array elements onto abstract processors: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,200)(0,0) \put(0,175){\makebox(35,25){\small\rm 1}} \put(35,175){\makebox(35,25){\small\rm 2}} \put(70,175){\makebox(35,25){\small\rm 3}} \put(105,175){\makebox(35,25){\small\rm 4}} \put(140,175){\makebox(35,25){\small\rm 5}} \put(175,175){\makebox(35,25){\small\rm 6}} \put(210,175){\makebox(35,25){\small\rm 7}} \put(245,175){\makebox(35,25){\small\rm 8}} \put(280,175){\makebox(35,25){\small\rm 9}} \put(315,175){\makebox(35,25){\small\rm 10}} \put(350,175){\makebox(35,25){\small\rm 11}} \put(385,175){\makebox(35,25){\small\rm 12}} \put(420,175){\makebox(35,25){\small\rm 13}} 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\put(455,0){\makebox(35,25){\tt 98}} \put(490,150){\makebox(35,25){\tt 99}} \put(490,125){\makebox(35,25){\tt 100}} \end{picture} \end{center} Distributing the array {\tt BLOCK(8)}: \CODE !HPF$ DISTRIBUTE CENTURY(BLOCK(8)) ONTO SEDECIM \EDOC results in this mapping of array elements onto abstract processors: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,150){\makebox(35,25){\tt 2}} \put(0,125){\makebox(35,25){\tt 3}} \put(0,100){\makebox(35,25){\tt 4}} \put(0,75){\makebox(35,25){\tt 5}} \put(0,50){\makebox(35,25){\tt 6}} \put(0,25){\makebox(35,25){\tt 7}} \put(0,0){\makebox(35,25){\tt 8}} \put(35,175){\makebox(35,25){\tt 9}} \put(35,150){\makebox(35,25){\tt 10}} \put(35,125){\makebox(35,25){\tt 11}} \put(35,100){\makebox(35,25){\tt 12}} \put(35,75){\makebox(35,25){\tt 13}} \put(35,50){\makebox(35,25){\tt 14}} \put(35,25){\makebox(35,25){\tt 15}} \put(35,0){\makebox(35,25){\tt 16}} \put(70,175){\makebox(35,25){\tt 17}} \put(70,150){\makebox(35,25){\tt 18}} \put(70,125){\makebox(35,25){\tt 19}} \put(70,100){\makebox(35,25){\tt 20}} 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\put(315,175){\makebox(35,25){\tt 73}} \put(315,150){\makebox(35,25){\tt 74}} \put(315,125){\makebox(35,25){\tt 75}} \put(315,100){\makebox(35,25){\tt 76}} \put(315,75){\makebox(35,25){\tt 77}} \put(315,50){\makebox(35,25){\tt 78}} \put(315,25){\makebox(35,25){\tt 79}} \put(315,0){\makebox(35,25){\tt 80}} \put(350,175){\makebox(35,25){\tt 81}} \put(350,150){\makebox(35,25){\tt 82}} \put(350,125){\makebox(35,25){\tt 83}} \put(350,100){\makebox(35,25){\tt 84}} \put(350,75){\makebox(35,25){\tt 85}} \put(350,50){\makebox(35,25){\tt 86}} \put(350,25){\makebox(35,25){\tt 87}} \put(350,0){\makebox(35,25){\tt 88}} \put(385,175){\makebox(35,25){\tt 89}} \put(385,150){\makebox(35,25){\tt 90}} \put(385,125){\makebox(35,25){\tt 91}} \put(385,100){\makebox(35,25){\tt 92}} \put(385,75){\makebox(35,25){\tt 93}} \put(385,50){\makebox(35,25){\tt 94}} \put(385,25){\makebox(35,25){\tt 95}} \put(385,0){\makebox(35,25){\tt 96}} \put(420,175){\makebox(35,25){\tt 97}} \put(420,150){\makebox(35,25){\tt 98}} \put(420,125){\makebox(35,25){\tt 99}} \put(420,100){\makebox(35,25){\tt 100}} \end{picture} \end{center} Distributing the array {\tt BLOCK(6)} is not HPF-conforming because \(6 \times 16 < 100\). Distributing the array {\tt CYCLIC} (which means exactly the same as {\tt CYCLIC(1)}): \CODE !HPF$ DISTRIBUTE CENTURY(CYCLIC) ONTO SEDECIM \EDOC results in this mapping of array elements onto abstract processors: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,200)(0,0) \put(0,175){\makebox(35,25){\small\rm 1}} \put(35,175){\makebox(35,25){\small\rm 2}} \put(70,175){\makebox(35,25){\small\rm 3}} \put(105,175){\makebox(35,25){\small\rm 4}} \put(140,175){\makebox(35,25){\small\rm 5}} \put(175,175){\makebox(35,25){\small\rm 6}} \put(210,175){\makebox(35,25){\small\rm 7}} \put(245,175){\makebox(35,25){\small\rm 8}} \put(280,175){\makebox(35,25){\small\rm 9}} \put(315,175){\makebox(35,25){\small\rm 10}} \put(350,175){\makebox(35,25){\small\rm 11}} \put(385,175){\makebox(35,25){\small\rm 12}} \put(420,175){\makebox(35,25){\small\rm 13}} \put(455,175){\makebox(35,25){\small\rm 14}} \put(490,175){\makebox(35,25){\small\rm 15}} \put(525,175){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){6}{\line(1,0){560}} \thicklines \multiput(0,0)(0,175){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){175}} \put(0,150){\makebox(35,25){\tt 1}} \put(35,150){\makebox(35,25){\tt 2}} \put(70,150){\makebox(35,25){\tt 3}} \put(105,150){\makebox(35,25){\tt 4}} \put(140,150){\makebox(35,25){\tt 5}} \put(175,150){\makebox(35,25){\tt 6}} \put(210,150){\makebox(35,25){\tt 7}} \put(245,150){\makebox(35,25){\tt 8}} \put(280,150){\makebox(35,25){\tt 9}} \put(315,150){\makebox(35,25){\tt 10}} \put(350,150){\makebox(35,25){\tt 11}} \put(385,150){\makebox(35,25){\tt 12}} \put(420,150){\makebox(35,25){\tt 13}} \put(455,150){\makebox(35,25){\tt 14}} \put(490,150){\makebox(35,25){\tt 15}} \put(525,150){\makebox(35,25){\tt 16}} \put(0,125){\makebox(35,25){\tt 17}} \put(35,125){\makebox(35,25){\tt 18}} \put(70,125){\makebox(35,25){\tt 19}} \put(105,125){\makebox(35,25){\tt 20}} \put(140,125){\makebox(35,25){\tt 21}} \put(175,125){\makebox(35,25){\tt 22}} 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\put(315,50){\makebox(35,25){\tt 74}} \put(350,50){\makebox(35,25){\tt 75}} \put(385,50){\makebox(35,25){\tt 76}} \put(420,50){\makebox(35,25){\tt 77}} \put(455,50){\makebox(35,25){\tt 78}} \put(490,50){\makebox(35,25){\tt 79}} \put(525,50){\makebox(35,25){\tt 80}} \put(0,25){\makebox(35,25){\tt 81}} \put(35,25){\makebox(35,25){\tt 82}} \put(70,25){\makebox(35,25){\tt 83}} \put(105,25){\makebox(35,25){\tt 84}} \put(140,25){\makebox(35,25){\tt 85}} \put(175,25){\makebox(35,25){\tt 86}} \put(210,25){\makebox(35,25){\tt 87}} \put(245,25){\makebox(35,25){\tt 88}} \put(280,25){\makebox(35,25){\tt 89}} \put(315,25){\makebox(35,25){\tt 90}} \put(350,25){\makebox(35,25){\tt 91}} \put(385,25){\makebox(35,25){\tt 92}} \put(420,25){\makebox(35,25){\tt 93}} \put(455,25){\makebox(35,25){\tt 94}} \put(490,25){\makebox(35,25){\tt 95}} \put(525,25){\makebox(35,25){\tt 96}} \put(0,0){\makebox(35,25){\tt 97}} \put(35,0){\makebox(35,25){\tt 98}} \put(70,0){\makebox(35,25){\tt 99}} \put(105,0){\makebox(35,25){\tt 100}} \end{picture} \end{center} Distributing the array {\tt CYCLIC(3)}: \CODE !HPF$ DISTRIBUTE CENTURY(CYCLIC(3)) ONTO SEDECIM \EDOC results in this mapping of array elements onto abstract processors: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,250)(0,0) \put(0,225){\makebox(35,25){\small\rm 1}} \put(35,225){\makebox(35,25){\small\rm 2}} \put(70,225){\makebox(35,25){\small\rm 3}} \put(105,225){\makebox(35,25){\small\rm 4}} \put(140,225){\makebox(35,25){\small\rm 5}} \put(175,225){\makebox(35,25){\small\rm 6}} \put(210,225){\makebox(35,25){\small\rm 7}} \put(245,225){\makebox(35,25){\small\rm 8}} \put(280,225){\makebox(35,25){\small\rm 9}} \put(315,225){\makebox(35,25){\small\rm 10}} \put(350,225){\makebox(35,25){\small\rm 11}} \put(385,225){\makebox(35,25){\small\rm 12}} \put(420,225){\makebox(35,25){\small\rm 13}} \put(455,225){\makebox(35,25){\small\rm 14}} \put(490,225){\makebox(35,25){\small\rm 15}} \put(525,225){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){8}{\line(1,0){560}} \thicklines \multiput(0,0)(0,225){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){225}} \put(0,200){\makebox(35,25){\tt 1}} \put(0,175){\makebox(35,25){\tt 2}} \put(0,150){\makebox(35,25){\tt 3}} \put(35,200){\makebox(35,25){\tt 4}} \put(35,175){\makebox(35,25){\tt 5}} \put(35,150){\makebox(35,25){\tt 6}} \put(70,200){\makebox(35,25){\tt 7}} \put(70,175){\makebox(35,25){\tt 8}} \put(70,150){\makebox(35,25){\tt 9}} \put(105,200){\makebox(35,25){\tt 10}} \put(105,175){\makebox(35,25){\tt 11}} \put(105,150){\makebox(35,25){\tt 12}} \put(140,200){\makebox(35,25){\tt 13}} \put(140,175){\makebox(35,25){\tt 14}} \put(140,150){\makebox(35,25){\tt 15}} \put(175,200){\makebox(35,25){\tt 16}} \put(175,175){\makebox(35,25){\tt 17}} \put(175,150){\makebox(35,25){\tt 18}} \put(210,200){\makebox(35,25){\tt 19}} \put(210,175){\makebox(35,25){\tt 20}} \put(210,150){\makebox(35,25){\tt 21}} 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\put(280,125){\makebox(35,25){\tt 73}} \put(280,100){\makebox(35,25){\tt 74}} \put(280,75){\makebox(35,25){\tt 75}} \put(315,125){\makebox(35,25){\tt 76}} \put(315,100){\makebox(35,25){\tt 77}} \put(315,75){\makebox(35,25){\tt 78}} \put(350,125){\makebox(35,25){\tt 79}} \put(350,100){\makebox(35,25){\tt 80}} \put(350,75){\makebox(35,25){\tt 81}} \put(385,125){\makebox(35,25){\tt 82}} \put(385,100){\makebox(35,25){\tt 83}} \put(385,75){\makebox(35,25){\tt 84}} \put(420,125){\makebox(35,25){\tt 85}} \put(420,100){\makebox(35,25){\tt 86}} \put(420,75){\makebox(35,25){\tt 87}} \put(455,125){\makebox(35,25){\tt 88}} \put(455,100){\makebox(35,25){\tt 89}} \put(455,75){\makebox(35,25){\tt 90}} \put(490,125){\makebox(35,25){\tt 91}} \put(490,100){\makebox(35,25){\tt 92}} \put(490,75){\makebox(35,25){\tt 93}} \put(525,125){\makebox(35,25){\tt 94}} \put(525,100){\makebox(35,25){\tt 95}} \put(525,75){\makebox(35,25){\tt 96}} \put(0,50){\makebox(35,25){\tt 97}} \put(0,25){\makebox(35,25){\tt 98}} \put(0,0){\makebox(35,25){\tt 99}} \put(35,50){\makebox(35,25){\tt 100}} \end{picture} \end{center} Note that it is perfectly permissible for an array to be distributed so that some processors have no elements. Indeed, an array may be ``distributed'' so that all elements reside on one processor. For example, \CODE !HPF$ DISTRIBUTE CENTURY(BLOCK(256)) ONTO SEDECIM \EDOC results in having only one non-empty block---a partially-filled one at that, having only 100 elements---on processor 1, with processors 2 through 16 having no elements of the array. A {\tt DISTRIBUTE} directive must not cause any data object associated with the {\it distributee} via storage association ({\tt COMMON} or {\tt EQUIVALENCE}) to be mapped such that storage units of a scalar data object are split across more than one abstract processor. See Section \ref{sequence} for further discussion of storage association. The statement form of a {\tt DISTRIBUTE} directive may be considered an abbreviation for an attributed form that happens to mention only one {\it distributee}; for example, \ICODE !HPF$ DISTRIBUTE distributee ( dist-format-list ) ONTO dist-target \EDOC is equivalent to \ICODE !HPF$ DISTRIBUTE ( dist-format-list ) ONTO dist-target :: distributee \EDOC Note that, to prevent syntactic ambiguity, the {\it dist-format-clause} must be present in the statement form, so in general the statement form of the directive may not be used to specify the mapping of scalars. If the {\it dist-format-clause} is omitted from the attributed form, then the language processor may make an arbitrary choice of distribution formats for each template or array. So the directive \CODE !HPF$ DISTRIBUTE ONTO P :: D1,D2,D3 \EDOC means the same as \CODE !HPF$ DISTRIBUTE ONTO P :: D1 !HPF$ DISTRIBUTE ONTO P :: D2 !HPF$ DISTRIBUTE ONTO P :: D3 \EDOC to which a compiler, perhaps taking into account patterns of use of {\tt D1}, {\tt D2}, and {\tt D3} within the code, might choose to supply three distinct distributions such as, for example, \CODE !HPF$ DISTRIBUTE D1(BLOCK, BLOCK) ONTO P !HPF$ DISTRIBUTE D2(CYCLIC, BLOCK) ONTO P !HPF$ DISTRIBUTE D3(BLOCK(43),CYCLIC) ONTO P \EDOC Then again, the compiler might happen to choose the same distribution for all three arrays. In either the statement form or the attributed form, if the {\tt ONTO} clause is present, it specifies the processor arrangement that is the target of the distribution. If the {\tt ONTO} clause is omitted, then a implementation-dependent processor arrangement is chosen arbitrarily for each {\it distributee}. So, for example, \CODE REAL, DIMENSION(1000) :: ARTHUR, ARNOLD, LINUS, LUCY !HPF$ PROCESSORS EXCALIBUR(32) !HPF$ DISTRIBUTE (BLOCK) ONTO EXCALIBUR :: ARTHUR, ARNOLD !HPF$ DISTRIBUTE (BLOCK) :: LINUS, LUCY \EDOC causes the arrays {\tt ARTHUR} and {\tt ARNOLD} to have the same mapping, so that corresponding elements reside in the same abstract processor, because they are the same size and distributed in the same way ({\tt BLOCK}) onto the same processor arrangement ({\tt EXCALIBUR}). However, {\tt LUCY} and {\tt LINUS} do not necessarily have the same mapping because they might, depending on the implementation, be distributed onto differently chosen processor arrangements; so corresponding elements of {\tt LUCY} and {\tt LINUS} might not reside on the same abstract processor. (The {\tt ALIGN} directive provides a way to ensure that two arrays have the same mapping without having to specify an explicit processor arrangement.) In a given environment, for some distributions, there may be no appropriate processor arrangement. \section{ALIGN Directive} \label{ALIGN-SECTION} The {\tt ALIGN} directive is used to specify that certain data objects are to be mapped in the same way as certain other data objects. Operations between aligned data objects are likely to be more efficient than operations between data objects that are not known to be aligned (because two objects that are aligned are intended to be mapped to the same abstract processor). The {\tt ALIGN} directive is designed to make it particularly easy to specify explicit mappings for all the elements of an array at once. While objects can be aligned in some cases through careful use of matching {\tt DISTRIBUTE} directives, {\tt ALIGN} is more general and frequently more convenient. The {\tt ALIGN} directive may appear only in the {\it specification-part} of a scoping unit and can contain only a {\it specification-expr} as a {\it subscript} or in a {\it subscript-triplet}. Formally, the syntax of {\tt ALIGN} is as follows: \BNF align-directive \IS ALIGN alignee align-directive-stuff align-directive-stuff \IS ( align-source-list ) align-with-clause align-attribute-stuff \IS [ ( align-source-list ) ] align-with-clause alignee \IS object-name align-source \IS : \OR * \OR align-dummy align-dummy \IS scalar-int-variable \FNB \begin{constraints} \item An {\it object-name} mentioned as an {\it alignee} must be a simple name and not a subobject designator. \item An {\it object-name} mentioned as an {\it alignee} may not appear as a {\it distributee}. \item An {\it object-name} mentioned as an {\it alignee} may not have the {\tt POINTER} attribute. \item If the {\it alignee} is scalar, the {\it align-source-list} (and its surrounding parentheses) must not appear. In this case the statement form of the directive is not allowed. \item If the {\it align-source-list} is present, its length must equal the rank of the alignee. \item An {\it align-dummy} must be a named variable. \item An object may not have both the {\tt INHERIT} attribute and the {\tt ALIGN} attribute. \end{constraints} Note that the possibility of an {\tt ALIGN} directive of the form \ICODE !HPF$ ALIGN align-attribute-stuff :: alignee-list \EDOC is covered by syntax rule \ref{combined-directive-rule} for a {\it combined-directive}. The statement form of an {\tt ALIGN} directive may be considered an abbreviation of an attributed form that happens to mention only one {\it alignee}: \ICODE !HPF$ ALIGN alignee ( align-source-list ) WITH align-spec \EDOC is equivalent to \ICODE !HPF$ ALIGN ( align-source-list ) WITH align-spec :: alignee \EDOC If the {\it align-source-list} is omitted from the attributed form and the {\it alignee}s are not scalar, the {\it align-source-list} is assumed to consist of a parenthesized list of ``{\tt :}'' entries, equal in number to the rank of the {\it alignees}. Similarly, if the {\it align-subscript-list} is omitted from the {\it align-spec} in either form, it is assumed to consist of a parenthesized list of ``{\tt :}'' entries, equal in number to the rank of the {\it align-target}. So the directive \CODE !HPF$ ALIGN WITH B :: A1, A2, A3 \EDOC means \CODE !HPF$ ALIGN (:,:) WITH B(:,:) :: A1, A2, A3 \EDOC which in turn means the same as \CODE !HPF$ ALIGN A1(:,:) WITH B(:,:) !HPF$ ALIGN A2(:,:) WITH B(:,:) !HPF$ ALIGN A3(:,:) WITH B(:,:) \EDOC \noindent because an attributed-form directive that mentions more than one {\it alignee} is equivalent to a series of identical directives, one for each {\it alignee}; all {\it alignee}s must have the same rank. With this understanding, we will assume below, for the sake of simplifying the description, that an {\tt ALIGN} directive has a single {\it alignee}. Each {\it align-source} corresponds to one axis of the {\it alignee}, and is specified as either ``{\tt :}'' or ``{\tt *}'' or a dummy variable: \begin{itemize} \item If it is ``{\tt :}'', then positions along that axis will be spread out across the matching axis of the {\it align-spec} (see below). \item If it is ``{\tt *}'', then that axis is {\it collapsed}: positions along that axis make no difference in determining the corresponding position within the {\it align-target}. (Replacing the ``{\tt *}'' with a dummy variable name not used anywhere else in the directive would have the same effect; ``{\tt *}'' is merely a convenience that saves the trouble of inventing a variable name and makes it clear that no dependence on that dimension is intended.) \item A dummy variable is considered to range over all valid index values for that dimension of the {\it alignee}. \end{itemize} The {\tt WITH} clause of an {\tt ALIGN} has the following syntax: \BNF align-with-clause \IS WITH align-spec align-spec \IS align-target [ ( align-subscript-list ) ] \OR * align-target [ ( align-subscript-list ) ] align-target \IS object-name \OR template-name align-subscript \IS int-expr \OR align-subscript-use \OR subscript-triplet \OR * align-subscript-use \IS [ [ int-level-two-expr ] add-op ] align-add-operand \OR align-subscript-use add-op int-add-operand align-add-operand \IS [ int-add-operand * ] align-primary \OR align-add-operand * int-mult-operand align-primary \IS align-dummy \OR ( align-subscript-use ) int-add-operand \IS add-operand int-mult-operand \IS mult-operand int-level-two-expr \IS level-2-expr \FNB The full syntax is given here for completeness, however some of the forms will only be discussed in Chapter~\ref{ch-mapping-subr}. These ``interprocedural'' forms are: \begin{itemize} \item The second option of rule~\ref{align-spec-rule} (containing the {\tt *} form) \end{itemize} \begin{constraints} \item An {\it object-name} mentioned as an {\it align-target} must be a simple name and not a subobject designator. \item An {\it align-target} may not have the {\tt OPTIONAL} attribute. \item If the {\it align-spec} in an {\tt ALIGN} directive begins with ``{\tt *}'' then every {\it alignee} must be a dummy argument. \item Each {\it align-dummy} may appear at most once in an {\it align-subscript-list}. \item An {\it align-subscript-use} expression may contain at most one occurrence of an {\it align-dummy}. \item An {\it align-dummy} may not appear anywhere in the {\it align-spec} except where explicitly permitted to appear by virtue of the grammar shown above. Paraphrased, one may construct an {\it align-subscript-use} by starting with an {\it align-dummy} and then doing additive and multiplicative things to it with any integer expressions that contain no {\it align-dummy}. \item A {\it subscript} in an {\it align-subscript} may not contain occurrences of any {\it align-dummy}. \item An {\it int-add-operand}, {\it int-mult-operand}, or {\it int-level-two-expr} must be of type integer. \end{constraints} The syntax rules for an {\it align-subscript-use} take account of operator precedence issues, but the basic idea is simple: an {\it align-subscript-use} is intended to be a linear function of a single occurrence of an {\it align-dummy}. For example, the following {\it align-subscript-use} expressions are valid, assuming that {\tt J}, {\tt K}, and {\tt M} are {\it align-dummy}s and {\tt N} is not an {\it align-dummy}: \begin{flushleft}\tt \begin{tabular}{l@{\quad}l@{\quad}l@{\quad}l@{\quad}l@{\quad}l} J & J+1 & 3-K & 2*M & N*M & 100-3*M \\ -J & +J & -K+3 & M+2**3 & M+N & -(4*7+IOR(6,9))*K-(13-5/3) \\ M*2 & N*(M-N) & 2*(J+1) & 5-K+3 & 10000-M*3 & 2*(3*(K-1)+13)-100 \end{tabular} \end{flushleft} The following expressions are not valid {\it align-subscript-use} expressions: \begin{flushleft}\tt \begin{tabular}{l@{\quad}l@{\quad}l@{\quad}l@{\quad}l@{\quad}l} J+J & J-J & 3*K-2*K & M*(N-M) & 2*J-3*J+J & 2*(3*(K-1)+13)-K \\ J*J & J+K & 3/K & 2**M & M*K & K-3*M \\ K-J & IOR(J,1) & -K/3 & M*(2+M) & M*(M-N) & 2**(2*J-3*J+J) \end{tabular} \end{flushleft} The {\it align-spec} must contain exactly as many {\it subscript-triplets} as the number of colons (``{\tt :}'') appearing in the {\it align-source-list}. These are matched up in corresponding left-to-right order, ignoring, for this purpose, any {\it align-source} that is not a colon and any {\it align-subscript} that is not a {\it subscript-triplet}. Consider a dimension of the {\it alignee} for which a colon appears as an {\it align-source} and let the lower and upper bounds of that array be {\it LA} and {\it UA}. Let the corresponding subscript triplet be {\it LT\/}:{\it UT\/}:{\it ST} or its equivalent. Then the colon could be replaced by a new, as-yet-unused dummy variable, say {\tt J}, and the subscript triplet by the expression {\tt (J-{\it LA})*{\it ST}+{\it LT}} without affecting the meaning of the directive. Moreover, the axes must conform, which means that \[ \max(0,UA-LA+1) \ = \ \max(0,\lceil (UT-LT+1) / ST \rceil) \] must be true. (This is entirely analogous to the treatment of array assignment.) To simplify the remainder of the discussion, we assume that every colon in the {\it align-source-list} has been replaced by new dummy variables in exactly the fashion just described, and that every ``{\tt *}'' in the {\it align-source-list} has likewise been replaced by an otherwise unused dummy variable. For example, \CODE !HPF$ ALIGN A(:,*,K,:,:,*) WITH B(31:,:,K+3,20:100:3) \EDOC may be transformed into its equivalent \CODE !HPF$ ALIGN A(I,J,K,L,M,N) WITH B(I-LBOUND(A,1)+31, & !HPF$ L-LBOUND(A,4)+LBOUND(B,2),K+3,(M-LBOUND(A,5))*3+20) \EDOC with the attached requirements \begin{center} {\tt SIZE(A,1)~.EQ.~UBOUND(B,1)-30} \\ {\tt SIZE(A,4)~.EQ.~SIZE(B,2)} \\ {\tt SIZE(A,5)~.EQ.~(100-20+3)/3} \end{center} Thus we need consider further only the case where every {\it align-source} is a dummy variable and no {\it align-subscript} is a {\it subscript-triplet}. Each dummy variable is considered to range over all valid index values for the corresponding dimension of the {\it alignee}. Every combination of possible values for the index variables selects an element of the {\it alignee}. The {\it align-spec} indicates a corresponding element (or section) of the {\it align-target} with which that element of the {\it alignee} should be aligned; this indication may be a function of the index values, but the nature of this function is syntactically restricted (as discussed above) to linear functions in order to limit the complexity of the implementation. Each {\it align-dummy} variable may appear at most once in the {\it align-spec} and only in certain rigidly prescribed contexts. The result is that each {\it align-subscript} expression may contain at most one {\it align-dummy} variable and the expression is constrained to be a linear function of that variable. (Therefore skew alignments are not possible.) An asterisk ``{\tt *}'' as an {\it align-subscript} indicates a replicated representation. Each element of the {\it alignee} is aligned with every position along that axis of the {\it align-target}. \begin{rationale} It may seem strange to use ``{\tt *}'' to mean both collapsing and replication; the rationale is that ``{\tt *}'' always stands conceptually for a dummy variable that appears nowhere else in the statement and ranges over the set of indices for the indicated dimension. Thus, for example, \CODE !HPF$ ALIGN A(:) WITH D(:,*) \EDOC means that a copy of {\tt A} is aligned with every column of {\tt D}, because it is conceptually equivalent to \ICODE for every legitimate index j, align A(:) with D(:,j) \EDOC just as \CODE !HPF$ ALIGN A(:,*) WITH D(:) \EDOC is conceptually equivalent to \ICODE for every legitimate index j, align A(:,j) with D(:) \EDOC Note, however, that while HPF syntax allows \CODE !HPF$ ALIGN A(:,*) WITH D(:) \EDOC to be written in the alternate form \CODE !HPF$ ALIGN A(:,J) WITH D(:) \EDOC it does {\it not} allow \CODE !HPF$ ALIGN A(:) WITH D(:,*) \EDOC to be written in the alternate form \CODE !HPF$ ALIGN A(:) WITH D(:,J) \EDOC because that has another meaning (only a variable appearing in the {\it align-source-list} following the {\it alignee} is understood to be an {\it align-dummy}, so the current value of the variable {\tt J} is used, thus aligning {\tt A} with a single column of {\tt D}). Replication allows an optimizing compiler to arrange to read whichever copy is closest. (Of course, when a replicated data object is written, all copies must be updated, not just one copy. Replicated representations are very useful for use as small lookup tables, where it is much faster to have a copy in each physical processor but without giving it an extra dimension that is logically unnecessary to the algorithm. \end{rationale} By applying the transformations given above, all cases of an {\it align-subscript} may be conceptually reduced to either an {\it int-expr} (not involving an {\it align-dummy}) or an {\it align-subscript-use} and the {\it align-source-list} may be reduced to a list of index variables with no ``{\tt *}'' or ``{\tt:}''. An {\it align-subscript-list} may then be evaluated for any specific combination of values for the {\it align-dummy} variables simply by evaluating each {\it align-subscript} as an expression. The resulting subscript values must be legitimate subscripts for the {\it align-target}. (This implies that the {\it alignee} is not allowed to ``wrap around'' or ``extend past the edges'' of an {\it align-target}.) The selected element of the {\it alignee} is then considered to be aligned with the indicated element of the {\it align-target}; more precisely, the selected element of the {\it alignee} is considered to be ultimately aligned with the same object with which the indicated element of the {\it align-target} is currently ultimately aligned (possibly itself). More examples of {\tt ALIGN} directives: \CODE INTEGER D1(N) LOGICAL D2(N,N) REAL, DIMENSION(N,N):: X,A,B,C,AR1,AR2A,P,Q,R,S !HPF$ ALIGN X(:,*) WITH D1(:) !HPF$ ALIGN (:,*) WITH D1:: A,B,C,AR1,AR2A !HPF$ ALIGN WITH D2, DYNAMIC:: P,Q,R,S \EDOC Note that, in a {\it alignee-list}, the alignees must all have the same rank but need not all have the same shape; the extents need match only for dimensions that correspond to colons in the {\it align-source-list}. This turns out to be an extremely important convenience; one of the most common cases in current practice is aligning arrays that match in distributed (``parallel'') dimensions but may differ in collapsed (``on-processor'') dimensions: \CODE REAL A(3,N), B(4,N), C(43,N), Q(N) !HPF$ DISTRIBUTE Q(BLOCK) !HPF$ ALIGN (*,:) WITH Q:: A,B,C \EDOC Here there are processors (perhaps {\tt N} of them) and arrays of different sizes (3, 4, 43) within each processor are required. As far as HPF is concerned, the numbers 3, 4, and 43 may be different, because those axes will be collapsed. Thus array elements with indices differing only along that axis will all be aligned with the same element of {\tt Q} (and thus be specified as residing in the same processor). In the following examples, each directive in the group means the same thing, assuming that corresponding axis upper and lower bounds match: \CODE !Second axis of X is collapsed !HPF$ ALIGN X(:,*) WITH D1(:) !HPF$ ALIGN X(J,*) WITH D1(J) !HPF$ ALIGN X(J,K) WITH D1(J) !Replicated representation along second axis of D3 !HPF$ ALIGN X(:,:) WITH D3(:,*,:) !HPF$ ALIGN X(J,K) WITH D3(J,*,K) !Transposing two axes !HPF$ ALIGN X(J,K) WITH D2(K,J) !HPF$ ALIGN X(J,:) WITH D2(:,J) !HPF$ ALIGN X(:,K) WITH D2(K,:) !But there isn't any way to get rid of *both* index variables; ! the subscript-triplet syntax alone cannot express transposition.. !Reversing both axes !HPF$ ALIGN X(J,K) WITH D2(M-J+1,N-K+1) !HPF$ ALIGN X(:,:) WITH D2(M:1:-1,N:1:-1) !Simple case !HPF$ ALIGN X(J,K) WITH D2(J,K) !HPF$ ALIGN X(:,:) WITH D2(:,:) !HPF$ ALIGN (J,K) WITH D2(J,K):: X !HPF$ ALIGN (:,:) WITH D2(:,:):: X !HPF$ ALIGN WITH D2:: X \EDOC \section{Allocatable Arrays and Pointers} \label{ALLOCATABLE-SECTION} A variable with the {\tt ALLOCATABLE} attribute may appear as an {\it alignee} in an {\tt ALIGN} directive or as a {\it distributee} in a {\tt DISTRIBUTE} directive. Such directives do not take effect immediately, however; they take effect each time the array is allocated by an {\tt ALLOCATE} statement, rather than on entry to the scoping unit. The values of all specification expressions in such a directive are determined once on entry to the scoping unit and may be used multiple times (or not at all). For example: \CODE SUBROUTINE MILLARD_FILLMORE(N,M) REAL, ALLOCATABLE, DIMENSION(:) :: A, B !HPF$ ALIGN B(I) WITH A(I+N) !HPF$ DISTRIBUTE A(BLOCK(M*2)) N = 43 M = 91 ALLOCATE(A(27)) ALLOCATE(B(13)) ... \EDOC The values of the expressions {\tt N} and {\tt M*2} on entry to the subprogram are conceptually retained by the {\tt ALIGN} and {\tt DISTRIBUTE} directives for later use at allocation time. When the array {\tt A} is allocated, it is distributed with a block size equal to the retained value of {\tt M*2}, not the value 182. When the array {\tt B} is allocated, it is aligned relative to {\tt A} according to the retained value of {\tt N}, not its new value 43. Note that it would have been incorrect in the {\tt MILLARD_FILLMORE} example to perform the two {\tt ALLOCATE} statements in the opposite order. In general, when an object {\tt X} is created it may be aligned to another object {\tt Y} only if {\tt Y} has already been created or allocated. The following example illustrates several related cases. \CODE SUBROUTINE WARREN_HARDING(P,Q) REAL P(:) REAL Q(:) REAL R(SIZE(Q)) REAL, ALLOCATABLE :: S(:),T(:) !HPF$ ALIGN P(I) WITH T(I) !Nonconforming !HPF$ ALIGN Q(I) WITH *T(I) !Nonconforming !HPF$ ALIGN R(I) WITH T(I) !Nonconforming !HPF$ ALIGN S(I) WITH T(I) ALLOCATE(S(SIZE(Q))) !Nonconforming ALLOCATE(T(SIZE(Q))) \EDOC The {\tt ALIGN} directives are not HPF-conforming because the array {\tt T} has not yet been allocated at the time that the various alignments must take place. The four cases differ slightly in their details. The arrays {\tt P} and {\tt Q} already exist on entry to the subroutine, but because {\tt T} is not yet allocated, one cannot correctly prescribe the alignment of {\tt P} or describe the alignment of {\tt Q} relative to {\tt T}. (See Chapter~\ref{ch-mapping-subr} for a discussion of prescriptive and descriptive directives.) The array {\tt R} is created on subroutine entry and its size can correctly depend on the {\tt SIZE} of {\tt Q}, but the alignment of {\tt R} cannot be specified in terms of the alignment of {\tt T} any more than its size can be specified in terms of the size of {\tt T}. It {\it is} permitted to have an alignment directive for {\tt S} in terms of {\tt T}, because the alignment action does not take place until {\tt S} is allocated; however, the first {\tt ALLOCATE} statement is nonconforming because {\tt S} needs to be aligned but at that point in time {\tt T} is still unallocated. When an array is allocated, it will be aligned to an existing template if there is an explicit {\tt ALIGN} directive for the allocatable variable. If there is no explicit {\tt ALIGN} directive, then the array will be ultimately aligned with itself. It is forbidden for any other object to be ultimately aligned to an array at the time the array becomes undefined by reason of deallocation. All this applies regardless of whether the name originally used in the {\tt ALLOCATE} statement when the array was created had the {\tt ALLOCATABLE} attribute or the {\tt POINTER} attribute. Pointers cannot be explicitly mapped in HPF and thus can only be associated with objects which are not explicitly mapped. When used for allocation, the compiler may choose any arbitrary mapping for data allocated through the pointer. Explicit mapping of pointers is allowed under the approved extensions - see Section~\ref{POINTERS-SECTION} for details. Also, the the relationship of pointers and sequence attributes is described in Section~\ref{sequence}. \section{PROCESSORS Directive} \label{PROCESSORS-SECTION} The {\tt PROCESSORS} directive declares one or more rectilinear processor arrangements, specifying for each one its name, its rank (number of dimensions), and the extent in each dimension. It may appear only in the {\it specification-part} of a scoping unit. Every dimension of a processor arrangement must have nonzero extent; therefore a processor arrangement cannot be empty. In the language of section 14.1.2 of the Fortran standard, processor arrangements are local entities of class (1); therefore a processor arrangement may not have the same name as a variable, named constant, internal procedure, etc., in the same scoping unit. Names of processor arrangements obey the same rules for host and use association as other names in the long list in section 12.1.2.2.1 of the Fortran standard. A processor arrangement declared in a module has the default accessibility of the module. \begin{rationale} Because the name of a processor arrangement is not a first-class entity in HPF, but must appear only in directives, it cannot appear in an {\it access-stmt} ({\tt PRIVATE} or {\tt PUBLIC}). If directives ever become full-fledged Fortran statements rather than structured comments, then it would be appropriate to allow the accessibility of a processor arrangement to be controlled by listing its name in an {\it access-stmt}. \end{rationale} If two processor arrangements have the same shape, then corresponding elements of the two arrangements are understood to refer to the same abstract processor. (It is anticipated that implementation-dependent directives provided by some HPF implementations could overrule the default correspondence of processor arrangements that have the same shape.) If directives collectively specify that two objects be mapped to the same abstract processor at a given instant during the program execution, the intent is that the two objects be mapped to the same physical processor at that instant. The intrinsic functions {\tt NUMBER_OF_PROCESSORS} and {\tt PROCESSORS_SHAPE} may be used to inquire about the total number of actual physical processors used to execute the program. This information may then be used to calculate appropriate sizes for the declared abstract processor arrangements. \BNF processors-directive \IS PROCESSORS processors-decl-list processors-decl \IS processors-name [ ( explicit-shape-spec-list ) ] \FNB Examples: \CODE !HPF$ PROCESSORS P(N) !HPF$ PROCESSORS Q(NUMBER_OF_PROCESSORS()), & !HPF$ R(8,NUMBER_OF_PROCESSORS()/8) !HPF$ PROCESSORS BIZARRO(1972:1997,-20:17) !HPF$ PROCESSORS SCALARPROC \EDOC \noindent If no shape is specified, then the declared processor arrangement is conceptually scalar. \begin{rationale} A scalar processor arrangement may be useful as a way of indicating that certain scalar data should be kept together but need not interact strongly with distributed data. Depending on the implementation architecture, data distributed onto such a processor arrangement may reside in a single ``control'' or ``host'' processor (if the machine has one), or may reside in an arbitrarily chosen processor, or may be replicated over all processors. For target architectures that have a set of computational processors and a separate scalar host computer, a natural implementation is to map every scalar processor arrangement onto the host processor. For target architectures that have a set of computational processors but no separate scalar ``host'' computer, data mapped to a scalar processor arrangement might be mapped to some arbitrarily chosen computational processor or replicated onto all computational processors. \end{rationale} An HPF compiler is required to accept any {\tt PROCESSORS} declaration in which the product of the extents of each declared processor arrangement is equal to the number of physical processors that would be returned by the call {\tt NUMBER_OF_PROCESSORS()}. It must also accept all declarations of scalar {\tt PROCESSOR} arrangements. Other cases may be handled as well, depending on the implementation. For compatibility with the Fortran attribute syntax, an optional ``{\tt ::}'' may be inserted. The shape may also be specified with the {\tt DIMENSION} attribute: \CODE !HPF$ PROCESSORS :: RUBIK(3,3,3) !HPF$ PROCESSORS, DIMENSION(3,3,3) :: RUBIK \EDOC As in Fortran, an {\it explicit-shape-spec-list} in a {\it processors-decl} will override an explicit {\tt DIMENSION} attribute: \CODE !HPF$ PROCESSORS, DIMENSION(3,3,3) :: & !HPF$ RUBIK, RUBIKS_REVENGE(4,4,4), SOMA \EDOC Here {\tt RUBIKS_REVENGE} is \( 4 \times 4 \times 4 \) while {\tt RUBIK} and {\tt SOMA} are each \( 3 \times 3 \times 3 \). (By the rules enunciated above, however, such a statement may not be completely portable because no HPF language processor is required to handle shapes of total sizes 27 and 64 simultaneously.) Returning from a subprogram causes all processor arrangements declared local to that subprogram to become undefined. It is not HPF-conforming for any array or template to be distributed onto a processor arrangement at the time the processor arrangement becomes undefined unless at least one of two conditions holds: \begin{itemize} \item The array or template itself becomes undefined at the same time by virtue of returning from the subprogram. \item Whenever the subprogram is called, the processor arrangement is always locally defined in the same way, with identical lower bounds, and identical upper bounds. \begin{rationale} Note that the second condition is slightly less stringent than requiring all expressions to be constant. This allows calls to {\tt NUMBER_OF_PROCESSORS} or {\tt PROCESSORS_SHAPE} to appear without violating the condition. \end{rationale} \end{itemize} Variables in {\tt COMMON} or having the {\tt SAVE} attribute may be mapped to a locally declared processor arrangement, but because the first condition cannot hold for such variables (they don't become undefined), the second condition must be observed. This allows {\tt COMMON} variables to work properly through the customary strategy of putting identical declarations in each scoping unit that needs to use them, while allowing the processor arrangements to which they may be mapped to depend on the value returned by {\tt NUMBER_OF_PROCESSORS}. (See Section~\ref{sequence} for further information on mapping common variables.) \begin{implementors} It may be desirable to have a way for the user to specify at compile time the number of physical processors on which the program is to be executed. This might be specified either by a implementation-dependent directive, for example, or through the programming environment (for example, as a UNIX command-line argument). Such facilities are beyond the scope of the HPF specification, but as food for thought we offer the following illustrative hypothetical examples: \CODE !Declaration for multiprocessor by ABC Corporation !ABC$ PHYSICAL PROCESSORS(8) !Declaration for mpp by XYZ Incorporated !XYZ$ PHYSICAL PROCESSORS(65536) !Declaration for hypercube machine by PDQ Limited !PDQ$ PHYSICAL PROCESSORS(2,2,2,2,2,2,2,2,2,2) !Declaration for two-dimensional grid machine by TLA GmbH !TLA$ PHYSICAL PROCESSORS(128,64) !One of the preceding might affect the following !HPF$ PROCESSORS P(NUMBER_OF_PROCESSORS()) \EDOC It may furthermore be desirable to have a way for the user to specify the precise mapping of the processor arrangement declared in a {\tt PROCESSORS} statement to the physical processors of the executing hardware. Again, this might be specified either by a implementation-dependent directive or through the programming environment (for example, as a UNIX command-line argument); such facilities are beyond the scope of the HPF specification, but as food for thought we offer the following illustrative hypothetical example: \CODE !PDQ$ PHYSICAL PROCESSORS(2,2,2,2,2,2,2,2,2,2,2,2,2) !HPF$ PROCESSORS G(8,64,16) !PDQ$ MACHINE LAYOUT G(:GRAY(0:2),:GRAY(6:11),:BINARY(3:5,12)) \EDOC This might specify that the first dimension of {\tt G} should use hypercube axes 0, 1, 2 with a Gray-code ordering; the second dimension should use hypercube axes 6 through 11 with a Gray-code ordering; and the third dimension should use hypercube axes 3, 4, 5, and 12 with a binary ordering. \end{implementors} \section{TEMPLATE Directive} \label{TEMPLATE-SECTION} The {\tt TEMPLATE} directive declares one or more templates, specifying for each the name, the rank (number of dimensions), and the extent in each dimension. It must appear in the {\it specification-part} of a scoping unit. In the language of section 14.1.2 of the Fortran standard, templates are local entities of class (1); therefore a template may not have the same name as a variable, named constant, internal procedure, etc., in the same scoping unit. Template names obey the rules for host and use association as other names in the list in section 12.1.2.2.1 of the Fortran standard. A template declared in a module has the default accessibility of the module. \begin{rationale} Because the name of a template is not a first-class entity in HPF, but must appear only in directives, it cannot appear in an {\it access-stmt} ({\tt PRIVATE} or {\tt PUBLIC}). If directives ever become full-fledged Fortran statements rather than structured comments, then it would be appropriate to allow the accessibility of a template to be controlled by listing its name in an {\it access-stmt}. \end{rationale} A template is simply an abstract space of indexed positions; it can be considered as an ``array of nothings'' (as compared to an ``array of integers,'' say). %%%If an array is a cat, then a template is a Cheshire %%%cat, and the index space is the grin. A template may be used as an abstract {\it align-target} that may then be distributed. \BNF template-directive \IS TEMPLATE template-decl-list template-decl \IS template-name [ ( explicit-shape-spec-list ) ] \FNB Examples: \CODE !HPF$ TEMPLATE A(N) !HPF$ TEMPLATE B(N,N), C(N,2*N) !HPF$ TEMPLATE DOPEY(100,100),SNEEZY(24),GRUMPY(17,3,5) \EDOC If the ``{\tt ::}'' syntax is used, then the declared templates may optionally be distributed in the same {\it combined-directive}. In this case all templates declared by the directive must have the same rank so that the {\tt DISTRIBUTE} attribute will be meaningful. The {\tt DIMENSION} attribute may also be used. \CODE !HPF$ TEMPLATE, DISTRIBUTE(BLOCK,*) :: & !HPF$ WHINEY(64,64),MOPEY(128,128) !HPF$ TEMPLATE, DIMENSION(91,91) :: BORED,WHEEZY,PERKY \EDOC Templates are useful in the particular situation where one must align several arrays relative to one another but there is no need to declare a single array that spans the entire index space of interest. For example, one might want four \( N \times N \) arrays aligned to the four corners of a template of size \( (N+1) \times (N+1) \): \CODE !HPF$ TEMPLATE, DISTRIBUTE(BLOCK, BLOCK) :: EARTH(N+1,N+1) REAL, DIMENSION(N,N) :: NW, NE, SW, SE !HPF$ ALIGN NW(I,J) WITH EARTH( I , J ) !HPF$ ALIGN NE(I,J) WITH EARTH( I ,J+1) !HPF$ ALIGN SW(I,J) WITH EARTH(I+1, J ) !HPF$ ALIGN SE(I,J) WITH EARTH(I+1,J+1) \EDOC Templates may also be useful in making assertions about the mapping of dummy arguments (see Chapter~\ref{ch-mapping-subr}). Unlike arrays, templates cannot be in {\tt COMMON}. So two templates declared in different scoping units will always be distinct, even if they are given the same name. The only way for two program units to refer to the same template is to declare the template in a module that is then used by the two program units. Templates are not passed through the subprogram argument interface. The template to which a dummy argument is aligned is always distinct from the template to which the actual argument is aligned, though it may be a copy (see Section \ref{INHERIT-SECTION}). On exit from a subprogram, an HPF implementation arranges that the actual argument is aligned with the same template with which it was aligned before the call. Returning from a subprogram causes all templates declared local to that subprogram to become undefined. It is not HPF-conforming for any variable to be aligned to a template at the time the template becomes undefined unless at least one of two conditions holds: \begin{itemize} \item The variable itself becomes undefined at the same time by virtue of returning from the subprogram. \item Whenever the subprogram is called, the template is always locally defined in the same way, with identical lower bounds, identical upper bounds, and identical distribution information (if any) onto identically defined processor arrangements (see Section \ref{PROCESSORS-SECTION}). \begin{rationale} Note that this second condition is slightly less stringent than requiring all expressions to be constant. This allows calls to {\tt NUMBER_OF_PROCESSORS} or {\tt PROCESSORS_SHAPE} to appear without violating the condition. \end{rationale} \end{itemize} \noindent Variables in {\tt COMMON} or having the {\tt SAVE} attribute may be mapped to a locally declared template, but because the first condition cannot hold for such variable (they don't become undefined), the second condition must be observed. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Material from the old chapter 7 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% \section{Storage and Sequence Association} \label{sequence} HPF allows the mapping of data objects across multiple processors in order to improve parallel performance. Fortran specifies relationships between the storage for data objects associated through {\tt COMMON} and {\tt EQUIVALENCE} statements, and the order of array elements during association at procedure boundaries between actual arguments and dummy arguments. Otherwise, the location of data is not constrained by the language. {\tt COMMON} and {\tt EQUIVALENCE} statements constrain the alignment of different data items based on the underlying model of storage units and storage sequences: \begin{quotation} {\em Storage association is the association of two or more data objects that occurs when two or more storage sequences share or are aligned with one or more storage units.} --- Fortran Standard (14.6.3.1) \end{quotation} The model of storage association is a single linearly addressed memory, based on the traditional single address space, single memory unit architecture. This model can cause severe inefficiencies on architectures where storage for data objects is mapped. Sequence association refers to the order of array elements that Fortran requires when an array expression or array element is associated with a dummy array argument: \begin{quotation} {\em The rank and shape of the actual argument need not agree with the rank and shape of the dummy argument, \ldots} --- Fortran Standard (12.4.1.4) \end{quotation} As with storage association, sequence association is a natural concept only in systems with a linearly addressed memory. As an aid to porting FORTRAN 77 codes, HPF allows codes that rely on sequence and storage association to be valid in HPF. Some modification to existing FORTRAN 77 codes may nevertheless be necessary. This section explains the relationship between HPF data mapping and sequence and storage association. \subsection{Storage Association} \subsubsection{Definitions} \label{sequence-defs} \begin{enumerate} \item {\tt COMMON} blocks are either {\it sequential} or {\it nonsequential}, as determined by either explicit directive or compiler default. A sequential {\tt COMMON} block has a single common block storage sequence (Fortran Standard 5.5.2.1). \item An {\it aggregate variable group} is a collection of variables whose individual storage sequences are parts of a single storage sequence. Variables associated by {\tt EQUIVALENCE} statements or by a combination of {\tt EQUIVALENCE} and {\tt COMMON} statements form an aggregate variable group. The variables of a sequential {\tt COMMON} block form a single aggregate variable group. \item The {\it size} of an aggregate variable group is the number of storage units in the group's storage sequence (Fortran Standard 14.6.3.1). \item \label{seq-var} Data objects are either {\it sequential} or {\it nonsequential}. A data object is {\it sequential} if and only if any of the following holds: \begin{enumerate} \item it appears in a sequential {\tt COMMON} block; \item it is a member of an aggregate variable group; \item it is an assumed-size array; \item it is a component of a derived type with the Fortran {\tt SEQUENCE} attribute; or \item it is declared to be sequential in an HPF {\tt SEQUENCE} directive. \end{enumerate} A sequential object can be storage associated or sequence associated; nonsequential objects cannot. \item A {\tt COMMON} block contains a sequence of {\it components}. Each component is either an aggregate variable group, or a variable that is not a member of any aggregate variable group. Sequential {\tt COMMON} blocks contain a single component. Nonsequential {\tt COMMON} blocks may contain several components that may be sequential variables or aggregate variable groups or may be nonsequential. \end{enumerate} \subsubsection{Examples of Definitions} \CODE IMPLICIT REAL (A-Z) COMMON /FOO/ A(100), B(100), C(100), D(100), E(100) DIMENSION X(100), Y(150), Z(200) !Example 1: EQUIVALENCE ( A(1), Z(1) ) !Four components: (A, B), C, D, E !Sizes are: 200, 100, 100, 100 !Example 2: EQUIVALENCE ( A(51), X(1) ) ( B(100), Y(1) ) !Two components (A, B, C, D), E !Sizes are: 400, 100 !Example 3: !HPF$ SEQUENCE /FOO/ !The COMMON has one component, (A, B, C, D, E) !Size is 500 \EDOC \noindent The {\tt COMMON} block {\tt /FOO/} is nonsequential in Examples 1 and 2. Aggregate variable groups are shown as components in parentheses. \subsection {Sequence Directive} A {\tt SEQUENCE} directive is defined to allow a user to declare explicitly that data objects or {\tt COMMON} blocks are to be treated by the compiler as sequential. ({\tt COMMON} blocks are by default nonsequential. Data objects are nonsequential unless Definition~\ref{seq-var} applies.) Some implementations may supply an optional compilation environment where the {\tt SEQUENCE} directive is applied by default. For completeness in such an environment, HPF defines a {\tt NO SEQUENCE} directive to allow a user to establish that the usual nonsequential default should apply to a scoping unit, or selected data objects and {\tt COMMON} blocks within the scoping unit. \BNF sequence-directive \IS SEQUENCE [ [ :: ] association-name-list ] \OR NO SEQUENCE [ [ :: ] association-name-list ] association-name \IS object-name \OR / [ common-block-name ] / \FNB \begin{constraints} \item An object name or {\tt COMMON} block name may appear at most once in a {\it sequence-directive} within any scoping unit. \item Only one sequence directive with no {\it association-name-list} is permitted in the same scoping unit. \end{constraints} A pointer declared with the {\tt SEQUENCE} attribute can be only be associated with sequential objects. \subsubsection {Storage Association Rules} \begin{enumerate} \item A {\it sequence-directive} with an empty {\it association-name-list} is treated as if it contained the name of all implicitly mapped objects and {\tt COMMON} blocks in the scoping unit which cannot otherwise be determined to be sequential or nonsequential by their language context. \item A sequential object may not be explicitly mapped. \item No explicit mapping may be given for a component of a derived type having the Fortran {\tt SEQUENCE} attribute. Note that this rule is applicable only under the approved extensions since components of derived types cannot be explicitly mapped in HPF. \item No explicit mapping may be given for a dummy argument that is an assumed size array. \item If a {\tt COMMON} block is nonsequential, then all of the following must hold: \begin{enumerate} \item Every occurrence of the {\tt COMMON} block has exactly the same number of components with each corresponding component having a storage sequence of exactly the same size; \item If a component is a nonsequential variable in {\it any} occurrence of the {\tt COMMON} block, then it must be nonsequential with identical type, shape, and mapping attributes in {\it every} occurrence of the {\tt COMMON} block; and \item Every occurrence of the {\tt COMMON} block must be nonsequential. \end{enumerate} \end{enumerate} \subsubsection{Storage Association Discussion} \begin{users} Under these rules, variables in a {\tt COMMON} block can be mapped as long as the components of the {\tt COMMON} block are the same in every scoping unit that declares the {\tt COMMON} block. Correct Fortran programs will not necessarily be correct without modification in HPF. The use of {\tt EQUIVALENCE} with {\tt COMMON} blocks can impact the mappability of data objects in subtle ways. To allow maximum optimization for performance, the HPF default for data objects is to consider them mappable. In order to get correct separate compilation for subprograms that use {\tt COMMON} blocks with different aggregate variable groups in different scoping units, it will be necessary to insert the HPF {\tt SEQUENCE} directive. As a check-list for a user to determine the status of a data object or {\tt COMMON} block, the following questions can be applied, in order: \begin{itemize} \item Does the object appear in some explicit language context which dictates that the object be sequential (e.g. {\tt EQUIVALENCE}) or nonsequential? \item If not, does the object appear in an explicit mapping directive? \item If not, does the object or {\tt COMMON} block name appear in the list of names on a {\tt SEQUENCE} or {\tt NO SEQUENCE} directive? \item If not, does the scoping unit contain a nameless {\tt SEQUENCE} or {\tt NO SEQUENCE}? \item If not, is the compilation affected by some special implementation-dependent environment which dictates that names default to {\tt SEQUENCE}? \item If not, then the compiler will consider the object or {\tt COMMON} block name non-sequential and is free to apply data mapping optimizations disregarding Fortran sequence and storage association. \end{itemize} \end{users} \begin{implementors} In order to protect the user and to facilitate portability of older codes, two implementation options are strongly recommended. First, every implementation should supply some mechanism to verify that the type and shape of every mappable array and the sizes of aggregate variable groups in {\tt COMMON} blocks are the same in every scoping unit unless the {\tt COMMON} blocks are declared to be sequential. This same check should also verify that identical mappings have been selected for the variables in {\tt COMMON} blocks. Implementations without interprocedural information can use a link-time check. The second implementation option recommended is a mechanism to declare that data objects and {\tt COMMON} blocks for a given compilation should be considered sequential unless declared otherwise. The purpose of this feature is to permit compilation of large old libraries or subprograms where storage association is known to exist without requiring that the code be modified to apply the HPF {\tt SEQUENCE} directive to every {\tt COMMON} block. \end{implementors} --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Mon Aug 12 17:26:20 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id RAA17169 for hpff-doc-out; Mon, 12 Aug 1996 17:26:20 -0500 (CDT) Date: Mon, 12 Aug 1996 17:26:20 -0500 (CDT) Message-Id: <199608122226.RAA17169@cs.rice.edu> From: Piyush Mehrotra To: hpff-doc@cs.rice.edu Subject: hpff-doc: mapping-ext.tex Phone: (804)864-2188 Fax: (804)864-6134 WWW: http://www.icase.edu/~pm Address: ICASE MS 132C NASA Langley Research Center Hampton VA 23681 Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: mapping-ext.tex % Contents: % Approved Extensions for data mapping for HPF 2.0 document, including % GenBlock % indirect % range % shadow % subsets % derived types % more on pointers. % Revision history: % May-10-96 Created by Charles Koelbel, Rice University % (From HPF 2.0 proposals) % May-22-96 Modified by Piyush Mehrotra to include all of % the above topics % Aug-8-96 Modified by Piyush Mehrotra: % modified subsection on remapping across procedure boundaries % modified the section on pointers based on proposals passed % in the July meeting % added clarifications and examples to the range section \chapter{Approved Extensions for Data Mapping} \label{ch-mapping-ext} {\em Comments on this chapter should be directed to Piyush Mehrotra ({\tt pm@icase.edu}), Carl Offner ({\tt offner@hpc.pko.dec.com}), and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Extended Mapping}'' as the {\tt Subject:} line. \par } This chapter describes a set of data mapping features which extend the capabilities provided by the base set as described in Chapter~\ref{ch-mapping-base}. These extensions can be divided into two categories. The first set of extensions provide the user greater control over the mapping of the data. These include directives for dynamic remapping of data which allow the user to redistribute and realign at runtime data which has been declared {\tt DYNAMIC}. The {\tt ONTO} clause used in the {\tt DISTRIBUTE} directive is extended to allow direct distribution to subsets of processors. Explicit mapping of pointers and components of derived types are also introduced. Two new distributions are included, the {\tt GEN\_BLOCK} distribution which generalizes the block distribution and the {\tt INDIRECT} which allows the mapping of individual array elements to be specified through a mapping array. The programmer can use the second set of extensions to provide the compiler with information useful for generating efficient code. This category includes the range directives which allows the user to specify the range of distribution that a dynamically distributed array, a pointer or a formal argument may have. The shadow directive allows the user to specify the amount of additional space required on a processor to accommodate non-local elements in a nearest-neighbor computation. Since this chapter deals with extensions, we repeat some of the sections of Chapter~\ref{ch-mapping-base} and~\ref{ch-mapping-subr} providing new rules and extending old ones where necessary. %When extending a rule we use {\tt extended-xx} %as the new rule name with the understanding %that it will replace the old rule name, {\tt xx}, everywhere. \section{Extended Model} The fundamental model for allocation of data to abstract processors still remains a two-level mapping as described in Chapter~\ref{ch-mapping-base}. However, it is extended to allow the dynamic remapping of the data objects as illustrated by the following diagram: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(600,240)(0,30) \thicklines \put(100,150){\circle{50}} \put(242,150){\circle{50}} \put(383,150){\circle{50}} \put(525,150){\circle{50}} \put(125,150){\vector(1,0){92}} \put(267,150){\vector(1,0){91}} \put(408,150){\vector(1,0){92}} \put(56,190){\shortstack{Arrays or\strut\\other objects\strut}} \put(192,190){\shortstack{Group of\strut\\aligned objects\strut}} \put(328,190){\shortstack{Abstract\strut\\processors as a\strut \\user-declared\strut\\Cartesian mesh\strut}} \put(494,190){\shortstack{Physical\strut\\processors\strut}} \put(135,50){\shortstack{{\tt ALIGN}\strut\\(static) or\strut \\{\tt REALIGN}\strut\\(dynamic)\strut}} \put(265,50){\shortstack{{\tt DISTRIBUTE}\strut\\(static) or\strut \\{\tt REDISTRIBUTE}\strut\\(dynamic)\strut}} \put(400,50){\shortstack{Optional\strut\\implementation-\strut \\dependent\strut\\directive\strut}} \end{picture} \end{center} Thus, objects can now be remapped at execution time using the executable directives {\tt REALIGN} and {\tt REDISTRIBUTE} Any object that is the root of an alignment tree, i.e., is not explicitly aligned to another object, can be explicitly redistributed. Redistributing such an object causes all objects ultimately aligned with it to be also redistributed so as to maintain the alignment relationships. Any object that is not a root of an alignment tree can be explicitly realigned but not explicitly redistributed. Such a realignment does not change the mapping of any other object. Note that such remapping of data may require communication among the processors. By analogy with the Fortran 90 {\tt ALLOCATABLE} attribute, HPF includes the attribute {\tt DYNAMIC}. It is not permitted to {\tt REALIGN} an array that has not been declared {\tt DYNAMIC}. Similarly, it is not permitted to {\tt REDISTRIBUTE} an array or template that has not been declared {\tt DYNAMIC}. Saved local variables, variables in common, and variables accessed by use association must not be implicitly remapped - e.g., by having variable distribution formats or being aligned with entities having variable distribution formats. Of these three categories of variables, only variables accessed by use association may have the {\tt DYNAMIC} attribute. \section{Syntax of Data Alignment and Distribution Directives} As in the case of other mapping directives, the executable directives {\tt REALIGN} and {\tt REDISTRIBUTE} also come in two forms (statement form and attribute form) but may not be combined with other attributes in a single directive. The {\tt RANGE} attribute may be combined with other attributes in a single directive. \BNF extended-combined-attribute \IS ALIGN align-attribute-stuff \OR DISTRIBUTE dist-attribute-stuff \OR DYNAMIC \OR INHERIT \OR TEMPLATE \OR PROCESSORS \OR DIMENSION ( explicit-shape-spec-list ) \OR RANGE range-attr-stuff-list \FNB \section{REDISTRIBUTE Directive} \label{REDISTRIBUTE-SECTION} The {\tt REDISTRIBUTE} directive is similar to the {\tt DISTRIBUTE} directive but is considered executable. An array (or template) may be redistributed at any time, provided it has been declared {\tt DYNAMIC} (see Section \ref{DYNAMIC-SECTION}). Any other arrays currently ultimately aligned with an array (or template) when it is redistributed are also remapped to reflect the new distribution, in such a way as to preserve alignment relationships (see Section \ref{ALIGN-SECTION}). (This can require a lot of computational and communication effort at run time; the programmer must take care when using this feature.) The {\tt DISTRIBUTE} directive may appear only in the {\it specification-part} of a scoping unit. The {\tt REDISTRIBUTE} directive may appear only in the {\it execution-part} of a scoping unit. The principal difference between {\tt DISTRIBUTE} and {\tt REDISTRIBUTE} is that {\tt DISTRIBUTE} must contain only a {\it specification-expr} as the argument to a distribution format, e.g., {\tt BLOCK} or {\tt CYCLIC}, whereas in {\tt REDISTRIBUTE} such an argument may be any integer expression. Another difference is that {\tt DISTRIBUTE} is an attribute, and so can be combined with other attributes as part of a {\it combined-directive}, whereas {\tt REDISTRIBUTE} is not an attribute (although a {\tt REDISTRIBUTE} statement may be written in the style of attributed syntax, using ``{\tt ::}'' punctuation). Formally, the syntax of the {\tt DISTRIBUTE} and {\tt REDISTRIBUTE} directives is: \BNF redistribute-directive \IS REDISTRIBUTE distributee dist-directive-stuff \OR REDISTRIBUTE dist-attribute-stuff :: distributee-list \FNB \begin{constraints} \item A {\it distributee} that appears in a {\tt REDISTRIBUTE} directive must have the {\tt DYNAMIC} attribute (see Section \ref{DYNAMIC-SECTION}). \item Neither the {\it dist-format-clause} nor the {\it dist-target} in a {\tt REDISTRIBUTE} may begin with ``{\tt *}''. \end{constraints} If a range directive (see Section~\ref{range}) has been used to restrict the set of distribution formats allowed for a {\it distributee}, then the new mapping should match one of the formats specified in the range directive. A {\tt REDISTRIBUTE} directive must not cause any data object associated with the {\it distributee} via storage association ({\tt COMMON} or {\tt EQUIVALENCE}) to be mapped such that storage units of a scalar data object are split across more than one abstract processor. See Section \ref{sequence} for further discussion of storage association. The statement form of a {\tt REDISTRIBUTE} directive may be considered an abbreviation for an attributed form that happens to mention only one {\it distributee}; for example, \CODE !HPF$ REDISTRIBUTE distributee ( dist-format-list ) ONTO dist-target \EDOC is equivalent to \CODE !HPF$ REDISTRIBUTE ( dist-format-list ) ONTO dist-target :: distributee \EDOC \section{REALIGN Directive} \label{REALIGN-SECTION} The {\tt REALIGN} directive is similar to the {\tt ALIGN} directive but is considered executable. An array (or template) may be realigned at any time, provided it has been declared {\tt DYNAMIC} (see Section \ref{DYNAMIC-SECTION}) Unlike redistribution (see Section \ref{DISTRIBUTE-SECTION}), realigning a data object does not cause any other object to be remapped. (However, realignment of even a single object, if it is large, could require a lot of computational and communication effort at run time; the programmer must take care when using this feature.) The {\tt ALIGN} directive may appear only in the {\it specification-part} of a scoping unit. The {\tt REALIGN} directive is similar but may appear only in the {\it execution-part} of a scoping unit. The principal difference between {\tt ALIGN} and {\tt REALIGN} is that {\tt ALIGN} must contain only a {\it specification-expr} as a {\it subscript} or in a {\it subscript-triplet}, whereas in {\tt REALIGN} such subscripts may be any integer expressions. Another difference is that {\tt ALIGN} is an attribute, and so can be combined with other attributes as part of a {\it combined-directive}, whereas {\tt REALIGN} is not an attribute (although a {\tt REALIGN} statement may be written in the style of attributed syntax, using ``{\tt ::}'' punctuation). Formally, the syntax of {\tt REALIGN} is as follows: \BNF realign-directive \IS REALIGN alignee align-directive-stuff \OR REALIGN align-attribute-stuff :: alignee-list \FNB \begin{constraints} \item Any {\it alignee} that appears in a {\tt REALIGN} directive must have the {\tt DYNAMIC} attribute (see Section \ref{DYNAMIC-SECTION}). \item If the {\tt align-target} specified in the {\tt align-with-clause} has the {\tt DYNAMIC} attribute, then each {\tt alignee} must also have the {\tt DYNAMIC} attribute. \item An object may not have both the {\tt INHERIT} attribute and the {\tt ALIGN} attribute. (However, an object with the {\tt INHERIT} attribute may appear as an {\it alignee} in a {\tt REALIGN} directive, provided that it does not appear as a {\it distributee} in a {\tt DISTRIBUTE} or {\tt REDISTRIBUTE} directive.) \end{constraints} If a range directive (see Section~\ref{range}) has been used to restrict the set of distribution formats allowed for an {\it alignee}, then the new mapping should match one of the formats specified in the range directive. \section{DYNAMIC Directive} \label{DYNAMIC-SECTION} The {\tt DYNAMIC} attribute specifies that an object may be dynamically realigned or redistributed. \BNF dynamic-directive \IS DYNAMIC alignee-or-distributee-list alignee-or-distributee \IS alignee \OR distributee \FNB \begin{constraints} \item An object in {\tt COMMON} may not be declared {\tt DYNAMIC} and may not be aligned to an object (or template) that is {\tt DYNAMIC}. (To get this kind of effect, Fortran 90 modules must be used instead of {\tt COMMON} blocks.) \item An object with the {\tt SAVE} attribute may not be declared {\tt DYNAMIC} and may not be aligned to an object (or template) that is {\tt DYNAMIC}. \end{constraints} A {\tt REALIGN} directive may not be applied to an {\it alignee} that does not have the {\tt DYNAMIC} attribute. A {\tt REDISTRIBUTE} directive may not be applied to a {\it distributee} that does not have the {\tt DYNAMIC} attribute. A {\tt DYNAMIC} directive may be combined with other directives, with the attributes stated in any order, consistent with the Fortran 90 attribute syntax. Examples: \CODE !HPF$ DYNAMIC A,B,C,D,E !HPF$ DYNAMIC:: A,B,C,D,E !HPF$ DYNAMIC, ALIGN WITH SNEEZY:: X,Y,Z !HPF$ ALIGN WITH SNEEZY, DYNAMIC:: X,Y,Z !HPF$ DYNAMIC, DISTRIBUTE(BLOCK, BLOCK) :: X,Y !HPF$ DISTRIBUTE(BLOCK, BLOCK), DYNAMIC :: X,Y \EDOC The first two examples mean exactly the same thing. The next two examples mean exactly the same second thing. The last two examples mean exactly the same third thing. The three directives \CODE !HPF$ TEMPLATE A(64,64),B(64,64),C(64,64),D(64,64) !HPF$ DISTRIBUTE(BLOCK, BLOCK) ONTO P:: A,B,C,D !HPF$ DYNAMIC A,B,C,D \EDOC may be combined into a single directive as follows: \CODE !HPF$ TEMPLATE, DISTRIBUTE(BLOCK, BLOCK) ONTO P, & !HPF$ DIMENSION(64,64),DYNAMIC :: A,B,C,D \EDOC An {\tt ALLOCATABLE} object may also be given the {\tt DYNAMIC} attribute. If an {\tt ALLOCATE} statement is immediately followed by {\tt REDISTRIBUTE} and/or {\tt REALIGN} directives, the meaning in principle is that the array is first created with the statically declared mapping, if any, then immediately remapped. In practice there is an obvious optimization: create the array in the processors to which it is about to be remapped, in a single step. HPF implementors are strongly encouraged to implement this optimization and HPF programmers are encouraged to rely upon it. Here is an example: \CODE REAL,ALLOCATABLE(:,:) :: TINKER, EVERS !HPF$ DYNAMIC :: TINKER, EVERS REAL, ALLOCATABLE :: CHANCE(:) !HPF$ DISTRIBUTE(BLOCK),DYNAMIC :: CHANCE ... READ 6,M,N ALLOCATE(TINKER(N*M,N*M)) !HPF$ REDISTRIBUTE TINKER(CYCLIC, BLOCK) ALLOCATE(EVERS(N,N)) !HPF$ REALIGN EVERS(:,:) WITH TINKER(M::M,1::M) ALLOCATE(CHANCE(10000)) !HPF$ REDISTRIBUTE CHANCE(CYCLIC) \EDOC While {\tt CHANCE} is by default always allocated with a {\tt BLOCK} distribution, it should be possible for a compiler to notice that it will immediately be remapped to a {\tt CYCLIC} distribution. Similar remarks apply to {\tt TINKER} and {\tt EVERS}. (Note that {\tt EVERS} is mapped in a thinly-spread-out manner onto {\tt TINKER}; adjacent elements of {\tt EVERS} are mapped to elements of {\tt TINKER} separated by a stride {\tt M}. This thinly-spread-out mapping is put in the lower left corner of {\tt TINKER}, because {\tt EVERS(1,1)} is mapped to {\tt TINKER(M,1)}.) \section{Remapping and Subprogram Interfaces} \label{DYNAMIC-DUMMY-SECTION} The rules on the interaction of the {\tt REALIGN} and {\tt REDISTRIBUTE} directives with a subprogram argument interface are: \begin{enumerate} \item A dummy argument may be declared {\tt DYNAMIC}. However, it is subject to the general restrictions concerning the use of the name of an array to stand for its associated template. The effect of any redistribution of the dummy after the procedure returns to the caller is dependent on the attribute of the actual argument. If the actual argument associated with the dummy has also been declared {\tt DYNAMIC}, then any explicit remapping of the dummy is visible in the caller after the procedure returns. If a range directive (see Section~\ref{range}) has been used to restrict the set of distribution formats allowed for the actual argument, then the new mapping should match one of the formats specified in the range directive. If the actual argument associated with the dummy has not been declared {\tt DYNAMIC} then the original mapping of the actual has to be restored on return. When the subprogram returns and the caller resumes execution, all objects accessible to the caller after the call which are not declared {\tt DYNAMIC}, are mapped exactly as they were before the call. \item If an array or any section thereof is accessible by two or more paths, it is not HPF-conforming to remap it through any of those paths. For example, if an array is passed as an actual argument, it is forbidden to realign that array, or to redistribute an array or template to which it was aligned at the time of the call, until the subprogram has returned from the call. This prevents nasty aliasing problems. An example: \CODE MODULE FOO REAL A(10,10) !HPF$ DYNAMIC :: A END PROGRAM MAIN USE FOO CALL SUB(A(1:5,3:9)) END SUBROUTINE SUB(B) USE FOO REAL B(:,:) !HPF$ DYNAMIC :: B ... !HPF$ REDISTRIBUTE A !Nonconforming ... END \EDOC Situations such as this are forbidden, for the same reasons that an assignment to {\tt A} at the statement marked ``Nonconforming'' would also be forbidden. In general, in {\it any} situation where assignment to a variable would be nonconforming by reason of aliasing, remapping of that variable by an explicit {\tt REALIGN} or {\tt REDISTRIBUTE} directive is also forbidden. Note that it is legal to remap a host-associated or use-associated variable in a subprogram if it has been declared {\tt DYNAMIC} and is accessible only through a single path. Such remappings stay in effect even after the subprogram has returned to its caller. \end{enumerate} %---------------------------------------------------------------------------- % Mapping to subsets proposal %-------------------------------------------------------------------------- \section{Mapping to Processor Subsets} \label{mapping-proc-subset} This extension allows objects to be directly distributed to processor subsets by allowing a processor subset to be specified where a processor could be named, e.g., in a {\tt DISTRIBUTE} directive. The specified subset must be a proper subset of the named processor arrangement. Formally the syntax of the extended {\it dist-target} is as follows: \BNF extended-dist-target \IS processor-name [( section-subscript-list )] \OR * processor-name [( section-subscript-list )] \OR * \FNB \begin{constraints} \item The {\it section-subscript}s in the {\it section-subscript-list} may not be {\it vector-subscript}s and are restricted to either {\it subscript}s or {\it subscript-triplet}s. \item In the {\it section-subscript-list}, the number of {\it section-subscript}s must equal the rank of the {\it processor-name}. \end{constraints} \CODE !Example 1 !HPF$ PROCESSORS P(10) REAL A(100) !HPF$ DISTRIBUTE A(BLOCK) ONTO P(2:5) !Example 2 !HPF$ PROCESSORS Q(10,10) REAL A(100,100) !HPF$ DISTRIBUTE B(BLOCK,BLOCK) ONTO Q(5:10,5:10) \EDOC In Example 1, the array A is distributed by block across the processors P(2) to P(5) while in the second example, the array B is distributed across the lower right quadrant of the processor array Q. \begin{users} This extension is most useful in conjunction with the tasking construct, see Section~\ref{tasking}, which allows multiple independent phases of a computation to execute simultaneously on different subsets of processors. A similar situation arises when the code uses multiple data structures which can be computed in parallel where the computation on each individual object also exhibits parallelism, e.g., the multiple blocks in a multi-block grid used in some fluid dynamics calculation. Here, the individual blocks have to be distributed over subsets of processors to exploit both levels of parallelism. \end{users} \section{Pointers} \label{POINTERS-SECTION} Under the approved extensions, pointers can be explicitly mapped. Formally, this implies that the constraints that a {\it distributee} and an {\it alignee} may not have the {\tt POINTER} attribute as stated in Sections~\ref{DISTRIBUTE-SECTION} and~\ref{ALIGN-SECTION} respectively, have to be removed. As in the case of an allocatable object, the mapping specification for a pointer does not take effect immediately but plays a role when the pointer becomes pointer associated with a target either through allocation or through pointer assignment. When a pointer with an explicit mapping is used in an {\tt ALLOCATE} statement, the data is allocated with the specified mapping. For example: \CODE REAL, POINTER, DIMENSION(:) :: A, B !HPF$ ALIGN B WITH A !HPF$ DISTRIBUTE A(BLOCK) ... ALLOCATE(A(100)) ALLOCATE(B(50)) ... ALLOCATE(B(200)) ! Nonconforming \EDOC Pointer {\it A} is declared to have a {\tt BLOCK} distribution while pointer {\tt B} is declared to be identically aligned with {\it A}. When {\it A} is allocated, it is created with a block distribution. When {\it B} is allocated, it is aligned with the first 50 elements of {\it A}. Note, that the allocation statements may not occur in the opposite order, since an object may be aligned to another only if it has already been created or allocated. Also, the second allocation for {\it B} is nonconforming, since a larger object, {\it B} here, cannot be aligned with a smaller object, {\it A} in this case. A pointer with an explicit mapping can be pointer associated with a target through a pointer assignment statement under the following constraints: \begin{enumerate} \item The target must have an explicit mapping. \item The target may not be a section of an array. \item The distribution of each dimension of the ultimate align target of the pointer, as specified by the explicit mapping, must match with the distribution of corresponding dimension of the ultimate align target of the pointer target. \end{enumerate} For example: \CODE REAL, POINTER, DIMENSION(:,:) :: A !HPF$ DISTRIBUTE A(BLOCK,BLOCK) REAL, TARGET, DIMENSION (100, 100) :: B, C, D !HPF$ DISTRIBUTE B(BLOCK, BLOCK) !HPF$ DISTRIBUTE C(CYCLIC, BLOCK) ... A => B ! Conforming A => B(1:50, 1:50) ! Nonconforming: target must be a whole array. A => C ! Nonconforming: the distribution in the ! second dimension does not match A => D ! Nonconforming: D is not explicitly mapped ... \EDOC If a pointer has a partially specified (or underspecified) mapping, it can be pointer associated with a target as long as inheriting the rest of the mapping from the target provides a complete specification which is compatible with the mapping of the target. For example, the following pointer assignment is valid even though no processor arrangement is specified for the pointer: \CODE REAL, POINTER, DIMENSION(:) :: A REAL, TARGET, DIMENSION(100) :: B !HPF$ DISTRIBUTE A(BLOCK) !HPF$ DISTRIBUTE (BLOCK) ONTO P :: B ... A => B ! Conforming ... \EDOC \subsection{Transcriptive Mapping for Pointers} In order to allow pointers to point to targets with any explicit mappings and also to sections of arrays, we allow the transcriptive mapping to be used for local pointer variables also. For example: \CODE REAL, POINTER, DIMENSION(:) :: A !HPF$ DISTRIBUTE * :: A REAL, TARGET, DIMENSION(100) :: B, C !HPF$ DISTRIBUTE B(BLOCK), C(CYCLIC) ... A => B ! Conforming A => C ! Conforming A => C(1:50) ! Conforming ... \EDOC Here, the {\tt *} is used to indicate a transcriptive distribution for the pointer {\it A} and thus it can be pointer associated with both targets {\it B} and {\it C} distributed by {\tt BLOCK} and {\tt CYCLIC} respectively. To allow pointers to have a transcriptive distribution, we have to change the constraint for {\it dist-format-clause} as specified in Section~\ref{DISTRIBUTE-SECTION}, to read as follows: \begin{constraints} \item If either the {\it dist-format-clause} or the {\it dist-target} in a {\tt DISTRIBUTE} directive begins with ``{\tt *}'' then every {\it distributee} must be a dummy argument, {\em except if the {\em distributee} has the {\tt POINTER} attribute.} \end{constraints} Note that pointers with the transcriptive distribution can be pointer associated only with targets which have explicit mappings. When such pointers are used in an {\tt ALLOCATE} statement, the compiler may choose any arbitrary mapping for the allocated data. A range declaration (see Section~\ref{range}) can be used to restrict the set of distribution formats. \subsection{Pointers with the DYNAMIC Attribute} A pointer with an explicit mapping, as described above, may also have the {\tt DYNAMIC} attribute. Such pointers can be pointer associated with targets if and only if they have the {\tt DYNAMIC} attribute. In such a case, the target associated with the pointer may be remapped using a {\tt REDISTRIBUTE} or {\tt REALIGN} statement under the following restrictions. A pointer may be used in {\tt REALIGN} and {\tt REDISTRIBUTE} as an {\it alignee}, {\it align-target}, or {\it distributee} if and only if it is currently associated with a whole array, not an array section. One may remap an object by using a pointer as an {\it alignee} or {\it distributee} only if the object was created by {\tt ALLOCATE} but is not an {\tt ALLOCATABLE} array. Note that when an object is remapped, the new mapping is visible through any pointer that may be associated with the object. %The following has been deleted based on proposal approved in %the July 96 meeting. If this is to be retained it should also % be moved to the section on remappings. %Any directive that remaps an object constitutes an assertion on the %part of the programmer that the remainder of program execution would %be unaffected if all pointers associated with any portion of the %object were instantly to acquire undefined pointer association %status, except for the one pointer, if any, used to indicate the %object in the remapping directive. %\begin{implementors} %If HPF directives were ever to be absorbed as actual Fortran %statements, the previous paragraph could be written as %``Remapping an object causes all pointers associated with any portion %of the object to have undefined pointer association status, except %for the one pointer, if any, used to indicate the object in the %remapping directive.'' The more complicated wording here is intended %to avoid any implication that the remapping directives, in the form %of structured comment annotations, have any effect on the execution %semantics, as opposed to the execution speed, of the annotated %program. %\end{implementors} \subsection{Pointers and Subprograms} If a dummy pointer argument is not explicitly mapped, then the actual pointer argument must not also be explicitly mapped. If a dummy pointer argument has an explicit prescriptive or descriptive mapping then the actual argument must follow the rules for pointer assignment as stated above. That is, the actual argument must be explicitly mapped, must point to a whole object, and the distributions of the corresponding dimensions of the ultimate align targets of the actual and formal arguments must match. If a dummy pointer argument has a transcriptive mapping then the actual argument must be explicitly mapped. The dummy argument in this case assumes the distribution of the actual. Again a range declaration (see Section~\ref{range}) can be used to restrict the set of distribution formats of the actual. {\em Alternative proposal: If a dummy pointer argument has a transcriptive mapping any actual pointer argument is allowed including one that is not explicitly mapped. The dummy argument in this case assumes the distribution of the actual. Again a range declaration (see Section~\ref{range}) can be used to restrict the set of distribution formats of the actual. } A dummy pointer argument may have the {\tt DYNAMIC} attribute. In this case, the actual pointer argument must also have the {\tt DYNAMIC} argument. The target associated with the dummy argument may be redistributed under the restrictions stated in the last subsection. Following Fortran rules, if the actual is also visible (through host- or use-association), the target may be redistributed only through the dummy argument. If the dummy argument is redistributed, then the actual argument has the new mapping on return from the procedure. In such a case, the new mapping must match the range restrictions (if any) of the actual. \section{Mapping of Derived Type Components} %----------------------------------------------------------------------------- % Derive type mappings, apparent date Jan 18, 1996 %----------------------------------------------------------------------------- An {\tt ALIGN}, {\tt DISTRIBUTE}, or {\tt DYNAMIC} directive may appear within a {\it derived-type-def} wherever a {\it component-def-stmt} may appear. Every {\it alignee} or {\it distributee} within such a directive must be the name of a component defined within that {\it derived-type-def}. To allow mapping of the structure components, the rules have to be extended as follows: \BNF extended-distributee \IS object-name \OR template-name \OR structure-component \FNB A derived type is said to be an {\it explicitly mapped type} if any of its components is explicitly mapped or if any of its components is of an explicitly mapped type. \begin{constraints} \item A component of a derived type may be explicitly distributed only if the type of the component is not an explicitly mapped type. \item A variable or array of a derived type may be explicitly distributed only if the derived type is not an explicitly mapped type. \item A {\it distributee} in a {\tt DISTRIBUTE} directive may not be a {\it structure-component}, only a {\it component-name}. \item A {\it distributee} that is a {\it structure-component} may occur only in a {\tt REDISTRIBUTE} directive and every {\it part-ref} except the rightmost must be scalar (rank zero). The rightmost {\it part-name} in the {\it structure-component} must have the {\tt DYNAMIC} attribute. \end{constraints} \BNF extended-alignee \IS object-name \OR structure-component \FNB \begin{constraints} \item A component of a derived type may be explicitly aligned only if the type of the component is not an explicitly mapped type. \item A variable or array of a derived type may be explicitly aligned only if the derived type is not an explicitly mapped type. \item An {\it alignee} in an {\tt ALIGN} directive may not be a {\it structure-component}. \item An {\it alignee} that is a {\it structure-component} may occur only in a {\tt REALIGN} directive and every {\it part-ref} except the rightmost must be scalar (rank zero). The rightmost {\it part-name} in the {\it structure-component} must have the {\tt DYNAMIC} attribute. \end{constraints} The above constraints imply that components of structures can be mapped within the derived type definition itself such that any objects of that type are created with the specified mapping. Structure components which have been declared {\tt DYNAMIC} may be remapped using the {\tt REDISTRIBUTE} or {\tt REALIGN} directive. Example: \CODE TYPE SIMPLE REAL S(100) !HPF$ DISTRIBUTE S(BLOCK) END TYPE SIMPLE !HPF$ TEMPLATE, DISTRIBUTE(BLOCK, *) :: HAIRY_TEMPLATE(47,73) TYPE COMPLICATED INTEGER SIZE REAL RV(100,100), KV(100,100), QV(47,73) ! Arrays RV, KV, and QV may be mapped !HPF$ DISTRIBUTE (BLOCK, BLOCK):: RV, KV !HPF$ ALIGN WITH HAIRY_TEMPLATE :: QV TYPE(SIMPLE) SV(100) ! The following directive is not valid because SIMPLE ! is an explicitly mapped type. !HPF$ DISTRIBUTE SV(BLOCK) END TYPE COMPLICATED TYPE(COMPLICATED) LOTSOF(20) ! The following directive is not valid because COMPLICATED ! is an explicitly mapped type. !HPF$ DISTRIBUTE LOTSOF(BLOCK) \EDOC Here, a component of the derived type {\tt SIMPLE} has been mapped; thus objects of this type, e.g., {\tt SV} in type {\tt COMPLICATED}, cannot be distributed. The array {\tt LOTSOF} cannot be distributed for the same reason. Components of structures can be remapped using the {\tt REDISTRIBUTE} or {\tt REALIGN} directive if they have been declared {\tt DYNAMIC}. For example, the following code fragment can be used to allocate and map multiple blocks (called {\tt SUBGRID} here) of a multi-block grid: \CODE !HPF$ PROCESSORS P( number_of_processors() ) TYPE SUBGRID INTEGER SIZE INTEGER LO, HI ! target subset of processors REAL, POINTER BL(:) !HPF$ DYNAMIC BL END TYPE SUBGRID TYPE (SUBGRID), ALLOCATABLE :: GRID(:) READ (*,*) SUBGRID_COUNT ALLOCATE GRID(SUBGRID_COUNT) DO I = 1, SUBGRID_COUNT READ(*,*) GRID(I)%SIZE END DO ! Compute processor subsets for each subgrid, setting the LO and HI values CALL FIGURE_THE_PROCS ( GRID, number_of_processors()) ! Allocate each subgrid and distribute to the computed processors subset DO I = 1, SUBGRID_COUNT ALLOCATE( GRID(I)%BL( GRID(I)%SIZE ) ) !HPF$ REDISTRIBUTE GRID(I)%BL(BLOCK) ONTO P( GRID(I)%LO : GRID(I)%HI ) END DO \EDOC %----------------------------------------------------------------------------- % Indirect mapping proposal, apparent date Jan 18, 1996 %---------------------------------------------------------------------------- \section{New Distribution Formats} \label{dist-formats} This section describes two new distribution formats. Formally, we can extend the syntax as follows: \BNF extended-dist-format \IS BLOCK [ ( int-expr ) ] \OR CYCLIC [ ( int-expr ) ] \OR GEN\_BLOCK (int-array) \OR INDIRECT (int-array) \OR * \FNB \begin{constraints} \item An {\it int-array} appearing in a {\it extended-dist-format} of a {\tt DISTRIBUTE} or {\tt REDISTRIBUTE} directive must be an integer array of rank 1. \item An {\it int-array} appearing in a {\it extended-dist-format} of a {\tt DISTRIBUTE} directive must be a {\it restricted-expr}. \item The size of any {\it int-array} appearing with a {\tt GEN\_BLOCK} distribution must be equal to the extent of the corresponding dimension of the target processor arrangement. \item The size of any {\it int-array} appearing with an {\tt INDIRECT} distribution must be equal to the extent of the corresponding dimension of the {\it distributee} to which the distribution is to be applied. \end{constraints} The ``generalized'' block distribution, {\tt GEN\_BLOCK}, allows contiguous segments of an array, of possibly unequal sizes, to be mapped onto processors. The sizes of the segments are specified by values of a user-defined integer mapping array, one value per target processor of the mapping. That is, the {\it ith} element of the mapping array specifies the size of the block to be stored on the {\it ith} processor of the target processor arrangement. Thus, the values of the mapping arrays are restricted to be non-negative numbers and their sum must be greater than or equal to the extent of the corresponding dimension the array being distributed. The mapping array has to be a restricted expression when used in the {\tt DISTRIBUTE} directive, but can be an array variable in a {\tt REDISTRIBUTE} directive. In the latter case, changing the value of the map array after the directive has been executed will not change the mapping of the distributed array. Let {\it l} and {\it u} be the lower and upper bounds of the dimension of the {\it distributee}, {\it MAP} be the mapping array and let {\it BS(i):BE(i)} be the resultant elements mapped to the {\it ith} processor in the corresponding dimension of the target processor arrangements. Then, \begin{eqnarray*} BS (1) & = & l,\\ BE (i) & = & max( BS(i)+MAP(i)-1, u),\\ BS (i) & = & BE(i-1) + 1.\\ \end{eqnarray*} Example: \CODE PARAMETER (S = /2,25,20,0,8,65/) !HPF$ PROCESSORS P(6) REAL A(100), B(200), new(6) !HPF$ DISTRIBUTE A( GEN_BLOCK( S) ) ONTO P !HPF$ DYNAMIC B ... new = ... !HPF$ REDISTRIBUTE ( B( GEN_BLOCK(new) ) \EDOC Given the above specification, array elements A(1:2) are mapped on P(1), A(3:27) are mapped on P(2), A(28:37) are mapped on P(3), no elements are mapped on P(4), A(37:45) are mapped on P(5), and A(46:100) are mapped on P(6). The array {\it B} is distributed based on the array {\it new} whose values are computed at runtime. \begin{implementors} Accessing elements of an array distributed using the generalized block distribution may require accessing the values of the mapping array at runtime. However, since the size of such an array is equal to that of the processor arrangement, it can in most cases be replicated over all processors. For dynamic arrays, an independent copy of the mapping array will have to be maintained internally so that a change in the values of the mapping array does not affect the access of the distributed array. \end{implementors} There are many scientific applications in which the structure of the underlying domain is such that it does not map directly onto Fortran data structures. For example, in many CFD applications an unstructured mesh (consisting of triangles in 2D or tetrahedra in 3D) is used to represent the underlying domain. The nodes of such a mesh are generally represented by a one-dimensional array while another is used to represent their interconnections. Mapping such arrays using the structured distribution mechanisms, {\tt BLOCK} and {\tt CYCLIC}, results in mappings in which unrelated elements are mapped onto the same processor. This in turn leads to massive amounts of unnecessary communication. What is required is a mechanism to map a related set of arbitrary array elements onto the same processor. The {\tt INDIRECT} distribution provides such a mechanism. The {\tt INDIRECT} distribution allows a many-to-one mapping of elements of a dimension of a data array to a dimension of the target processor arrangement. An integer array is used to specify the target processor of each individual element of the array dimension being distributed. That is, the {\it ith} element of the mapping array provides the processor number onto which the {\it ith} array element is to be mapped. Since the mapping array maps array elements onto processor elements, the extent of the mapping array must match the extent of the dimension of the array it is distributing. Also, the values of the mapping array must lie between the lower and upper bound of the target dimension of the processor arrangement. The mapping array has to be a restricted expression when used in the {\tt DISTRIBUTE} directive, but can be an array variable in a {\tt REDISTRIBUTE} directive. In the latter case, changing the value of the mapping array after the directive has been executed will not change the mapping of the distributed array. Example: \CODE !HPF$ PROCESSORS P(4) REAL A(100), B(50) INTEGER map1(100), map2(50) PARAMETER (map1 = /1,3,4,3,3,2,1,4, ..../) !HPF$ DYNAMIC B !HPF$ DISTRIBUTE A( INDIRECT(map1) ) ONTO P !HPF$ DISTRIBUTE map2(BLOCK) ONTO P map2 = ... !HPF$ DISTRIBUTE B( INDIRECT(map2) ) ONTO P .... \EDOC Here, the array {\it A} is distributed statically using the constant array {\it map1}. Thus: \hspace{0.5in} \parbox{3in}{ A(1) is mapped onto P(1),\\ A(2) is mapped onto P(3),\\ A(3) is mapped onto P(4),\\ A(4) is mapped onto P(3),\\ A(5) is mapped onto P(3),\\ A(6) is mapped onto P(2),\\ A(7) is mapped onto P(1),\\ A(5) is mapped onto P(4), and so on.\\ } The array {\it B} is declared dynamic and is redistributed using the mapping array {\it map2}. \begin{implementors} In general, the {\tt INDIRECT} distribution is going to be used in the {\tt REDISTRIBUTE} directive with an array variable as the map array. Also, since the size of the mapping array must be the same as the array being distributed, it will itself be distributed most likely using the {\tt BLOCK} distribution. This raises several issues. To correctly implement this distribution, the runtime system should maintain a (distributed) copy of the mapping array so that if the program modifies the mapping array, the distribution does not change. Using an array variable as a mapping array implies that the location of each element of the array will not be known until runtime. Thus, a communication maybe required to figure out the location of a specific array element. \end{implementors} %----------------------------------------------------------------------------- % Shadow regions proposal, apparent date Feb 7, 1996 %----------------------------------------------------------------------------- \section{Range Directive} \label{range} The {\tt RANGE} attribute is used to restrict the possible distribution formats for an object or template that has the {\tt DYNAMIC} attribute or a transcriptive distribution format (including pointers). \BNF range-directive \IS RANGE ranger range-attr-stuff-list ranger \IS object-name \OR template-name range-attr-stuff \IS ( range-attr-list ) range-attr \IS range-dist-format \OR ALL range-dist-format \IS BLOCK [ ()] \OR CYCLIC [ () ] \OR GEN\_BLOCK \OR INDIRECT \OR * \FNB \begin{constraints} \item The {\it ranger} must have the {\tt DYNAMIC} attribute, the {\tt INHERIT} attribute and no explicit {\tt DISTRIBUTE}, or it must have been specified with a {\it dist-format-clause} of {\tt *} in a {\tt DISTRIBUTE} or combined directive. \item The length of any {\it range-attr-list} must be equal to the rank of the {\it ranger}. \item The {\it ranger} must not appear as an alignee in an {\tt ALIGN} or {\tt REALIGN} directive. \end{constraints} Since the length of each {\it range-attr-list} is the same as the rank of the {\it ranger}, each {\it range-attr}, {\it R}, in each {\it range-attr-stuff} corresponds positionally to a dimension {\it D} of the ranger. This dimension {\it D} in turn corresponds (though not necessarily positionally) to an axis {\it A} of the template with which the ranger is ultimately aligned. With this notation, a {\tt RANGE} attribute on a {\it ranger} is equivalent to the following constraint: \begin{quote} For at least one {\it range-attr-stuff} in the {\it range-attr-stuff-list}, every {\it range-attr}, {\it R}, must be compatible with the distribution format of the corresponding axis {\it A}. \end{quote} Note, that if there is no corresponding dimension in the ultimate align target, then a {\tt *} or {\tt ALL} must be used as the {\tt range-attr}. This compatibility must be maintained by any {\tt DISTRIBUTE} or {\tt REDISTRIBUTE} directive in which the {\it ranger} appears as a distributee, or if the ranger has the {\tt POINTER} attribute and is transcriptively distributed, for any target with which the {\it ranger} becomes associated. A distribution format of \begin{enumerate} \item {\tt BLOCK} is compatible with a {\it range-dist-format} of {\tt BLOCK}, {\tt BLOCK()} or {\tt CYCLIC()}; \item {\tt BLOCK(n)} is compatible with a {\it range-dist-format} of {\tt BLOCK()} or {\tt CYCLIC()}; \item {\tt CYCLIC} is compatible with a {\it range-dist-format} of {\tt CYCLIC} or {\tt CYCLIC()}; \item {\tt CYCLIC(n)} is compatible with a {\it range-dist-format} of {\tt CYCLIC()}; \item {\tt GEN\_BLOCK} is compatible with a {\it range-dist-format} of {\tt GEN\_BLOCK}; \item {\tt INDIRECT} is compatible with a {\it range-dist-format} of {\tt INDIRECT}; \item {\tt *} is compatible with a {\it range-dist-format} of {\tt *}. \end{enumerate} All distribution formats are compatible with a {\it range-dist-format} of {\tt ALL}. Examples: \CODE !HPF$ DISTRIBUTE T(BLOCK) !HPF$ ALIGN A(I,J) WITH T(I) CALL SUB(A) .... SUBROUTINE SUB(X) !HPF$ INHERIT X !HPF$ RANGE (BLOCK, *), (CYCLIC, *) \EDOC Since the ultimate align target of X, the inherited template T in this case, does not have a second dimension, only a {\tt *} or {\tt ALL} can be used in the second dimensions of the {\tt range-attr-stuff} for X. \CODE REAL A(100, 100, 100) !HPF$ DISTRIBUTE A(BLOCK, *, CYCLIC) CALL SUB( A(:,,:,1) ) ! Conforming CALL SUB( A(:,,1,:) ) ! Nonconforming CALL SUB( A(1,,:,:) ) ! Nonconforming .... SUBROUTINE SUB(X) REAL A(:, :) !HPF$ INHERIT X !HPF$ RANGE (BLOCK, *) \EDOC Given the range directive in the subroutine SUB, only the first call to SUB is conforming. However, all three calls can be made conforming if the range directive above is replaced by the following directive: \CODE !HPF$ RANGE (BLOCK, *), (BLOCK, CYCLIC), (*, CYCLIC) \EDOC \section{Shadow Width Declarations} In compiling nearest-neighbor code, for example, in discretizing partial differential equations or implementing convolutions, a standard technique is to allocate storage on each processor for the local array section that includes additional space for the elements that have to be moved in from its neighboring processors. This additional storage is referred to as ``shadow edges.'' There are conceptually two shadow edges for each array dimension: one at the low end of the local array section, and the other at the high end. In a single routine, the compiler can tell which arrays require shadow edges, and allocate this additional space accordingly. However, since the width of the shadow area is dependent on the size of the computational stencil being used, an array may require different shadow widths in different routines. Thus, without interprocedural analysis, an array argument may need to be copied into a space with the appropriate shadow width on each procedure call. A similar data motion would be required to copy the data back to its original location on exit form the subroutine. This unnecessary data motion can be avoided by allowing the user to specify the required shadow width when the array is declared. Formally, the syntax for declaring shadow widths is as follows: \BNF extended-dist-format \IS BLOCK [ ( int-expr [, shadow-spec-or-int-expr] ) ] \OR BLOCK ( shadow-spec ) \OR CYCLIC [ ( int-expr [, shadow-spec-or-int-expr] ) ] \OR CYCLIC ( shadow-spec ) \OR GEN\_BLOCK (int-array [, shadow-spec-or-int-expr] ) \OR INDIRECT (int-array) \OR * shadow-spec-or-int-expr \IS shadow-spec \OR int-expr shadow-spec \IS SHADOW = int-expr \OR LOW\_SHADOW = int-expr [, HIGH\_SHADOW = int-expr] \OR HIGH\_SHADOW = int-expr [, LOW\_SHADOW = int-expr] \FNB \begin{constraints} \item Any {\it int-expr} appearing in a {\it shadow-spec} or in a {\it shadow-spec-or-int-expr} must be a constant {\it specification-expr} with value greater than equal to {\it 0}. \item The absence of a {\it shadow-spec} or a {\it shadow-spec-or-int-expr} is equivalent to {\tt SHADOW = 0}. \item The specification {\tt SHADOW = w} (where {\tt w} is an {\it int-expr}) is equivalent to {\tt LOW\_SHADOW = w, HIGH\_SHADOW = w} \item A {\it shadow-spec-or-int-expr} that is just an {\it int-expr} (say {\tt w}) is equivalent to {\tt SHADOW = w}. \item Specifying only {\tt LOW\_SHADOW} implies {\tt HIGH\_SHADOW = 0}. \item Specifying only {\tt HIGH\_SHADOW} implies {\tt LOW\_SHADOW = 0}. \end{constraints} Thus, the directive \CODE !HPF$ DISTRIBUTE(BLOCK(n, w)) :: A \EDOC \noindent specifies that the array {\it A} is distributed by {\tt BLOCK(n)} and is to have a shadow width of {\it w} on both sides. If {\it A} is a dummy argument, this gives the compiler enough information to inhibit unnecessary data motion at procedure calls. The shadow width parameter can also be referenced by using the keyword {\tt SHADOW}; this is really a preferred usage, and is necessary if the distribution is {\tt BLOCK}, rather than {\tt BLOCK(n)}. So for instance, the following are equivalent: \CODE !HPF$ DISTRIBUTE(BLOCK(n, w)) :: A !HPF$ DISTRIBUTE(BLOCK(n, SHADOW = w)) :: A \EDOC A {\tt BLOCK} distributed dimension with a shadow width would be indicated simply as \CODE !HPF$ DISTRIBUTE(BLOCK(SHADOW = w)) :: A \EDOC In a similar fashion, \CODE !HPF$ DISTRIBUTE(CYCLIC(n, w)) :: A !HPF$ DISTRIBUTE(CYCLIC(n, SHADOW = w)) :: A \EDOC \noindent are both equivalent and refer to a {\tt CYCLIC(n)} distribution with a shadow width of {\it w}. Using the keywords {\tt LOW\_SHADOW} and {\tt HIGH\_SHADOW}, different shadow widths can be specified for the low end and high end of a dimension. For example: \CODE REAL, DIMENSION (1000) :: A !HPF$ DISTRIBUTE(BLOCK(LOW_SHADOW = 1, HIGH_SHADOW = 2)) :: A .... FORALL (i = 2, 998) A(i) = 0.25* (A(i) + A(i-1) + A(i+1) + A(i+2)) \EDOC \noindent specifies that only one non-local element is needed at the lower end while two are needed at the high end. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 15 13:32:39 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id NAA09567 for hpff-doc-out; Thu, 15 Aug 1996 13:32:39 -0500 (CDT) Received: from coral.llnl.gov (coral.llnl.gov [134.9.1.2]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id NAA09562 for ; Thu, 15 Aug 1996 13:32:35 -0500 (CDT) Received: (from zosel@localhost) by coral.llnl.gov (8.7.5/8.7.3/LLNL-Jun96) id LAA15305 for hpff-doc@cs.rice.edu; Thu, 15 Aug 1996 11:32:34 -0700 (PDT) Date: Thu, 15 Aug 1996 11:32:34 -0700 (PDT) From: Mary E Zosel Message-Id: <199608151832.LAA15305@coral.llnl.gov> To: hpff-doc@cs.rice.edu Subject: hpff-doc: cutting new document Mime-Version: 1.0 Content-Type: text/plain; charset=X-roman8 Content-Transfer-Encoding: 7bit Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- I will be attempting to assemble the latest draft of the HPF document tomorrow. I have much of it already - but am still missing a few pieces. If there is any way that even draft-stage chapters can arrive in time, that would be helpful. Please send anything to me as well as Chuck. Guy has offered to look at generating syntax chapters for us - and I will be sending him the assembled draft. -mary- --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 15 14:34:44 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id OAA12306 for hpff-doc-out; Thu, 15 Aug 1996 14:34:44 -0500 (CDT) Date: Thu, 15 Aug 1996 14:34:44 -0500 (CDT) Message-Id: <199608151934.OAA12306@cs.rice.edu> From: offner@hpc.pko.dec.com (Carl Offner) Subject: hpff-doc: mapping-subr.tex (again) Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: mapping-subr.tex % Contents: % Mapping constructs for dummy arguments for HPF 2.0 document, % including % interface rules % INHERIT % % If you don't have LaTeX2e available, uncomment the next three lines: %\def\emph#1{{\em #1}} %\def\texttt#1{{\tt #1}} %\def\textit#1{{\it #1}} % Revision history: % Aug-13-96 Edit by Carl Offner, Digital. Some clarifications and % corrections of typos, based on suggestions from Rob % Schreiber. % % Aug-01-96 Edit by Carl Offner, Digital. Based on % decisions taken at the July HPFF meeting, % i) DISTRIBUTE is no longer allowed on INHERITed % arguments. % ii) The section describing when an explicit interface % is not needed when arguments are explicitly mapped % has been vastly tightened up. % In addition, descriptive syntax has been more clearly % identified as being left in purely for backward % compatibility; and the TERPSICHORE-FRUG example has % been reworked. % % Jun-03-96 Edit by Carl Offner, Digital. % Rearrangements, many edits, and two new sections (an % introduction and the section on when an explicit % interface is necessary). % % May-10-96 Created by Charles Koelbel, Rice University % (from HPF 1.2 document and HPF 2.0 proposals) \chapter{Data Mapping in Subprogram Interfaces} \label{ch-mapping-subr} {\em Comments on this chapter should be directed to Piyush Mehrotra ({\tt pm@icase.edu}), Carl Offner ({\tt offner@hpc.pko.dec.com}), Guy Steele ({\tt Guy.Steele@east.sun.com}), and \\ {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Mapping in Subprogram Calls}'' as the {\tt Subject:} line. \par } \bigskip %% Take this out in the final document. \emph{In this chapter, phrases such as ``it is the responsibility of the called subprogram to remap the argument'' are constraints on the implementation (i.e., on the generated code produced by the compiler), not on the source code produced by the programmer.} \section{Introduction} \label{mapsub:introduction} \emph{This introduction gives an overview of the ways in which mapping directives interact with argument passing to subprograms. The language used here, however, is not definitive; the subsequent sections of this chapter contain the authoritative rules.} In addition to the data mapping features described in Chapter~\ref{ch-mapping-base}, HPF allows a number of options for describing the mapping of dummy arguments to subprograms. The mapping of each such dummy argument may be related to the mapping of its associated actual argument in the calling main program or procedure (the ``caller'') in several different ways. To allow for this, mapping directives applied to dummy arguments can have three different syntactic forms: \emph{prescriptive}, \emph{descriptive}, and \emph{transcriptive}. HPF provides these three forms to allow the programmer either to specify that the data is to be left in place, or to specify that during the execution of the call the data must be automatically remapped into a new and presumably more efficient mapping for the duration of the execution of the called subprogram. The meaning of these forms is as follows: \begin{description} \item[prescriptive] The directive describes the mapping of the dummy. However, the actual as passed may not have this mapping. \emph{If it does not}, it is the responsibility of the called subprogram to remap the argument as specified, and to restore the original mapping on exit. (However, see the discussion on explicit interfaces and remapping below.) Prescriptive directives are syntactically identical to directives occurring elsewhere in the program. For instance, if \texttt{A} is a dummy argument, \CODE !HPF$ DISTRIBUTE A (BLOCK, CYCLIC) \EDOC is a prescriptive directive. \item[descriptive] The directive describes the mapping of the dummy. It is the responsibility of the caller to insure that the actual as passed has this mapping. (Similarly, remapping to restore the original mapping on exit is also done by the caller.) Descriptive directives look like prescriptive directives, except that an asterisk precedes the description. For instance, \CODE !HPF$ DISTRIBUTE A *(BLOCK, CYCLIC) \EDOC is a descriptive directive. \item[transcriptive] The mapping is unspecified. The called subprogram must accept the mapping of the argument as it is passed. (Of course this means that the caller must pass this mapping information at run-time.) Transcriptive directives are written with a single asterisk for distributions and processor arrays; for instance \CODE !HPF$ DISTRIBUTE A * \EDOC is a transcriptive directive. The \texttt{INHERIT} directive (see Section~\ref{INHERIT-SECTION}) is used to specify a transcriptive alignment. \end{description} Both distribution formats and processor arrangements can be specified prescriptively, descriptively, or transcriptively. Alignment is more complicated, because of the need to specify the template with which the dummy is aligned. This template may be unspecified (in this case of course there is no \texttt{ALIGN} directive), in which case it is the \emph{natural template} of the dummy. (``Natural template'' is defined in Section~\ref{mapsub:templates} below.) Otherwise, one of the following disjoint possibilities must be true: \begin{itemize} \item The template is explicitly specified by a prescriptive ALIGN directive. \item The template is explicitly specified by a descriptive ALIGN directive. \item The template is \emph{inherited}. This is specified by giving the dummy the \texttt{INHERIT} attribute (described in Section~\ref{INHERIT-SECTION} below). This implicitly specifies the template to be a copy of the template with which the corresponding actual argument is ultimately aligned; further, the alignment of the dummy with that template is the same as that of the corresponding actual. This is in effect a transcriptive form of alignment. \end{itemize} This is restated more precisely in Section~\ref{mapsub:templates} below. If remapping is necessary at a subprogram interface, this fact must be visible in the caller. This is a consequence of the requirements for explicit interfaces in Section~\ref{mapsub:ExplicitInterfaces}. As a result of this, an implementation may choose to have all necessary remapping done by the caller. This in effect eliminates the distinction between prescriptive and descriptive mappings, and eliminates the need for the descriptive form of the directives. While both prescriptive and descriptive syntactic forms remain in this document, and while they are each treated in this chapter, it is fair to say that the descriptive syntax is at this point maintained only for backwards compatibility. \begin{users} Although it is possible to write some combinations of mapping directives that are partially prescriptive and partially transcriptive, for instance, there is probably no virtue to so doing. The point of these directives is to enable the compiler to handle any necessary remapping correctly and efficiently. Now remapping can happen for one or more of the following reasons: \begin{itemize} \item to make the alignment of the actual and the dummy agree; \item to make the distribution of the actual and the dummy agree; \item to make the processor array of the actual and the dummy agree. \end{itemize} For most machines, there is no real difference in the cost of remapping for any of these reasons. It is therefore a better practice in general to make a mapping either purely transcriptive, purely prescriptive, or purely descriptive. While transcriptive mappings can be useful in writing libraries, they impose a run-time cost on the subprogram. They should therefore be avoided in normal user code. \end{users} \section{What Remapping is Required, and Who Does It} If there is an explicit interface for the called subprogram and that interface contains prescriptive or descriptive mapping directives for a dummy argument, and if a remapping of the corresponding actual argument is necessary, the call should proceed as if the data was copied to a temporary variable to match the mapping of the dummy argument as expressed by the directives in the explicit interface. The template of the dummy will then be as declared in the interface. If in such a case the mapping directives are descriptive, then it is the responsibility of the caller to perform the necessary remapping. That is, the caller must provide an actual argument matching such directives, so that the descriptive directives correctly describe the dummy arguments to the subprogram. \begin{implementors} In fact, an implementation may choose to have \emph{all} necessary remapping done by the caller. \end{implementors} If there is no explicit interface, then no remapping will be necessary; this is a consequence of the requirements in Section~\ref{mapsub:ExplicitInterfaces}. An overriding principle is that \emph{any remapping of arguments is not visible to the caller}. That is, when the subprogram returns and the caller resumes execution, all objects accessible to the caller after the call are mapped exactly as they were before the call. It is not possible for a procedure to change the mapping of any object in a manner visible to its caller. \section{Distributions and Processor Arrangements} \label{mapsub:DistProcArr} In a \texttt{DISTRIBUTE} directive where every \textit{distributee} is a dummy argument, either the \textit{dist-format-clause} or the \textit{dist-target}, or both, may begin with, or consist of, an asterisk. \begin{itemize} \item Without an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is prescriptive; the clause describes a distribution and constitutes a request of the language processor to make it so. This might entail the subprogram remapping or copying the actual argument on entry at run time in order to satisfy the requested distribution for the dummy. \item Starting with an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is descriptive; the clause describes a distribution and constitutes an assertion to the language processor that on entry to the subprogram it will already be so. The programmer claims that, for every call to the subprogram, the actual argument will be such that the stated distribution already describes the mapping of that data. (The intent is that if the argument is passed by reference, no movement of the data \emph{by the subprogram} will be necessary at run time. All this is under the assumption that the language processor has observed all other directives. While a conforming HPF language processor is not required to obey mapping directives, it should handle descriptive directives with the understanding that their implied assertions are relative to this assumption.) \item Consisting of only an asterisk, a \textit{dist-format-clause} or \textit{dist-target} is transcriptive; the clause says nothing about the distribution but constitutes a request of the language processor to copy that aspect of the distribution from that of the actual argument. (The intent is that if the argument is passed by reference, no movement of the data will be necessary at run time.) \end{itemize} It is possible that, in a single \texttt{DISTRIBUTE} directive, the \textit{dist-format-clause} might have an asterisk but not the \textit{dist-target}, or vice versa. \subsection{Examples} These examples of \texttt{DISTRIBUTE} directives for dummy arguments illustrate the various combinations: \CODE !HPF$ DISTRIBUTE URANIA (CYCLIC) ONTO GALILEO \EDOC The language processor should do whatever it takes to cause \texttt{URANIA} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{GALILEO}. \CODE !HPF$ DISTRIBUTE POLYHYMNIA * ONTO ELVIS \EDOC The language processor should do whatever it takes to cause \texttt{POLYHYMNIA} to be distributed onto the processor arrangement \texttt{ELVIS}, using whatever distribution format it currently has (which might be on some other processor arrangement). \CODE !HPF$ DISTRIBUTE THALIA *(CYCLIC) ONTO FLIP \EDOC The language processor should do whatever it takes to cause \texttt{THALIA} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{FLIP}; \texttt{THALIA} already has a cyclic distribution, though it might be on some other processor arrangement. \CODE !HPF$ DISTRIBUTE CALLIOPE (CYCLIC) ONTO *HOMER \EDOC The language processor should do whatever it takes to cause \texttt{CALLIOPE} to have a \texttt{CYCLIC} distribution on the processor arrangement \texttt{HOMER}; \texttt{CALLIOPE} is already distributed onto \texttt{HOMER}, though it might be with some other distribution format. \CODE !HPF$ DISTRIBUTE MELPOMENE * ONTO *EURIPIDES \EDOC \texttt{MELPOMENE} is asserted to already be distributed onto \texttt{EURIPIDES}; use whatever distribution format the actual argument had so, if possible, no data movement should occur. \CODE !HPF$ DISTRIBUTE CLIO *(CYCLIC) ONTO *HERODOTUS \EDOC \texttt{CLIO} is asserted to already be distributed \texttt{CYCLIC} onto \texttt{HERODOTUS} so, if possible, no data movement should occur. \CODE !HPF$ DISTRIBUTE EUTERPE (CYCLIC) ONTO * \EDOC The language processor should do whatever it takes to cause \texttt{EUTERPE} to have a \texttt{CYCLIC} distribution onto whatever processor arrangement the actual was distributed onto. \CODE !HPF$ DISTRIBUTE ERATO * ONTO * \EDOC The mapping of \texttt{ERATO} should not be changed from that of the actual argument. \CODE !HPF$ DISTRIBUTE ARTHUR_MURRAY *(CYCLIC) ONTO * \EDOC \texttt{ARTHUR_MURRAY} is asserted to already be distributed \texttt{CYCLIC} onto whatever processor arrangement the actual argument was distributed onto, and no data movement should occur. Also note that \texttt{DISTRIBUTE ERATO * ONTO *} does not mean the same thing as \CODE !HPF$ DISTRIBUTE ERATO *(*) ONTO * \EDOC This latter means: \texttt{ERATO} is asserted to already be distributed \texttt{*} (that is, on-processor) onto whatever processor arrangement the actual was distributed onto. The processor arrangement is necessarily scalar in this case. \subsection{What Happens When a Clause is Omitted} One may omit either the \textit{dist-format-clause} or the \textit{dist-onto-clause} for a dummy argument. This is understood as follows: If the dummy argument has the \texttt{INHERIT} attribute (see Section~\ref{INHERIT-SECTION}), then no distribution directive is allowed in any case: the distribution as well as the alignment is inherited from the actual argument. In any other case in which distribution information is omitted, the compiler may choose the distribution format or a target processor arrangement arbitrarily. Here are two examples: \CODE !HPF$ DISTRIBUTE WHEEL_OF_FORTUNE *(CYCLIC) \EDOC \texttt{WHEEL_OF_FORTUNE} is asserted to already be \texttt{CYCLIC}. As long as it is kept \texttt{CYCLIC}, it may be remapped onto some other processor arrangement, but there is no reason to. \CODE !HPF$ DISTRIBUTE ONTO *TV :: DAVID_LETTERMAN \EDOC \texttt{DAVID_LETTERMAN} is asserted to already be distributed on \texttt{TV} in some fashion. The distribution format may be changed as long as \texttt{DAVID_LETTERMAN} is kept on \texttt{TV}. (Note that this declaration must be made in attributed form; the statement form \CODE !HPF$ DISTRIBUTE DAVID_LETTERMAN ONTO *TV !Nonconforming \EDOC does not conform to the syntax for a \texttt{DISTRIBUTE} directive.) \section{Alignment} \subsection{The Template of the Dummy Argument} \label{mapsub:templates} Here we describe precisely how the template with which the dummy argument is ultimately aligned is arrived at. First, templates are not passed through the subprogram argument interface. A dummy argument and its corresponding actual argument may be aligned to the same template only if that template is accessible in both the caller and the called subprogram either through host association or use association. In any other case, the template with which a dummy argument is aligned is always distinct from the template with which the actual argument is aligned, though it may be a copy (see Section \ref{INHERIT-SECTION}). On exit from a procedure, an HPF implementation arranges that the actual argument is aligned with the same template with which it was aligned before the call. The template of the dummy argument is arrived at in one of three ways: \begin{itemize} \item If the dummy argument appears explicitly as an \textit{alignee} in an \texttt{ALIGN} directive, its template is the \textit{align-target} if the \textit{align-target} is a template; otherwise its template is the template with which the \textit{align-target} is ultimately aligned. \item If the dummy argument is not explicitly aligned and does not have the \texttt{INHERIT} attribute (described in Section~\ref{INHERIT-SECTION} below), then the template has the same shape and bounds as the dummy argument; this is called the \textit{natural template} for the dummy. (Thus, all the examples in Section~\ref{mapsub:DistProcArr} use the natural template.) \item If the dummy argument is not explicitly aligned and does have the \texttt{INHERIT} attribute, then the template is ``inherited'' from the actual argument according to the following rules: \begin{itemize} \item If the actual argument is a whole array, the template of the dummy is a copy of the template with which the actual argument is ultimately aligned. \item If the actual argument is an array section of array \(A\) where no subscript is a vector subscript, then the template of the dummy is a copy of the template with which \(A\) is ultimately aligned. \item If the actual argument is any other expression, the shape and distribution of the template may be chosen arbitrarily by the language processor (and therefore the programmer cannot know anything \textit{a priori} about its distribution). \end{itemize} In all of these cases, we say that the dummy has an \textit{inherited template}. \end{itemize} \subsection{The INHERIT Directive} \label{INHERIT-SECTION} The \texttt{INHERIT} directive specifies that a dummy argument should be aligned to a copy of the template of the corresponding actual argument in the same way that the actual argument is aligned. \BNF inherit-directive \IS INHERIT dummy-argument-name-list \FNB The \texttt{INHERIT} directive causes the named subprogram dummy arguments to have the \texttt{INHERIT} attribute. Only dummy arguments may have the \texttt{INHERIT} attribute. An object must not have both the \texttt{INHERIT} attribute and the \texttt{ALIGN} attribute. The \texttt{INHERIT} directive may appear only in a \textit{specification-part} of a scoping unit. If a dummy argument has the \texttt{TARGET} attribute and no explicit mapping attributes, then the \texttt{INHERIT} attribute is implicitly assumed. (See section~\ref{mapsub:pointers}.) The \texttt{INHERIT} attribute specifies that the template for a dummy argument should be inherited, by making a copy of the template of the actual argument. Moreover, no other explicit mapping directive may appear for an argument with the \texttt{INHERIT} attribute: the \texttt{INHERIT} attribute implies a distribution of \texttt{DISTRIBUTE~*~ONTO~*} for the inherited template. Thus, the net effect is to tell the compiler to leave the data exactly where it is, and not attempt to remap the actual argument. The dummy argument will be mapped in exactly the same manner as the actual argument; the subprogram must be compiled in such a way as to work correctly no matter how the actual argument may be mapped onto abstract processors. \subsubsection{Examples} Here is a straightforward example of the use of \texttt{INHERIT}: \CODE REAL DOUGH(100) !HPF$ DISTRIBUTE DOUGH(BLOCK(10)) CALL PROBATE( DOUGH(7:23:2) ) ... SUBROUTINE PROBATE(BREAD) REAL BREAD(9) !HPF$ INHERIT BREAD \EDOC The inherited template of \texttt{BREAD} has shape [100]; element \texttt{BREAD(I)} is aligned with element 5 + 2*I of the inherited template, and that template has a \texttt{BLOCK(10)} distribution. More complicated examples can easily be constructed. It is important to bear in mind that the inherited template may have a different rank than the rank of the dummy, and it may even have a different rank than the rank of the actual. For instance, one might have a program containing the following: \CODE REAL A(100,100) !HPF$ TEMPLATE T(100,100,100) !HPF$ DISTRIBUTE T(BLOCK,CYCLIC,*) !HPF$ ALIGN A(I,J) with T(J,3,I) CALL SUBR(A(:,7)) ... SUBROUTINE SUBR(D) REAL D(100) !HPF$ INHERIT D \EDOC In this case, the dummy \texttt{D} has rank 1. It corresponds to a 1-dimensional section of a 2-dimensional actual \texttt{A} which in turn is aligned with a 2-dimensional section of a 3-dimensional template \texttt{T}. The template of \texttt{D} is a copy of this three-dimensional template. \texttt{D} is aligned with the section \texttt{(7, 3, :)} of this inherited template. Thus, the ``visible'' dimension of the dummy \texttt{D} is distributed \texttt{*}, although if the call statement had been \CODE CALL SUBR(A(7,:)) \EDOC \noindent for instance, the ``visible'' dimension of the dummy would be distributed \texttt{BLOCK}. \subsection{ALIGN Directives} The presence or absence of an asterisk at the start of an \textit{align-spec} has the same meaning as in a \textit{dist-format-clause}: it specifies whether the \texttt{ALIGN} directive is descriptive or prescriptive, respectively. If an \textit{align-spec} that does not begin with \texttt{*} is applied to a dummy argument, the meaning is that the dummy argument will be forced to have the specified alignment on entry to the subprogram. This may require either the caller or the subprogram to temporarily remap the data of the actual argument or a copy thereof. Note that a dummy argument may also be used as an \textit{align-target}. \CODE SUBROUTINE NICHOLAS(TSAR,CZAR) REAL, DIMENSION(1918) :: TSAR,CZAR !HPF$ INHERIT :: TSAR !HPF$ ALIGN WITH TSAR :: CZAR \EDOC In this example the first dummy argument, \texttt{TSAR}, remains aligned with the corresponding actual argument, while the second dummy argument, \texttt{CZAR}, is forced to be aligned with the first dummy argument. If the two actual arguments are already aligned, no remapping of the data will be required at run time. If they are not, some remapping will take place. If the \textit{align-spec} begins with ``\texttt{*}'', then the \textit{alignee} must be a dummy argument. The ``\texttt{*}'' indicates that the \texttt{ALIGN} directive constitutes a guarantee on the part of the programmer that, on entry to the subprogram, the indicated alignment will already be satisfied by the dummy argument, without any action to remap it required (on the part of the subprogram) at run time. For example: \CODE SUBROUTINE GRUNGE(PLUNGE,SPONGE) REAL PLUNGE(1000),SPONGE(1000) !HPF$ INHERIT SPONGE !HPF$ ALIGN PLUNGE WITH *SPONGE \EDOC This asserts that, for every \texttt{J} in the range \texttt{1:1000}, on entry to subroutine \texttt{GRUNGE}, the directives in the program have specified that \texttt{PLUNGE(J)} is currently mapped to the same abstract processor as \texttt{SPONGE(J)}. The intent is that if the language processor has in fact honored the directives, then no interprocessor communication on the part of the subprogram will be required to achieve the specified alignment. As usual, if an implementation performs all remapping in the caller, a prescriptive form of the \texttt{ALIGN} directive would mean exactly the same thing. It is not permitted to say simply ``\texttt{ALIGN WITH *}''; an \textit{align-target} must follow the asterisk. (The proper way to say ``accept any alignment'' is \texttt{INHERIT}.) If a dummy argument has no explicit \texttt{ALIGN} or \texttt{DISTRIBUTE} attribute, then the compiler provides an implicit alignment and distribution specification, one that could have been described explicitly without any ``assertion asterisks''. \subsubsection{Example} Without using \texttt{INHERIT}, explicit alignment of a dummy argument may be necessary to insure that no remapping takes place at the subprogram boundary. Here is an example: \CODE LOGICAL FRUG(128) !HPF$ PROCESSORS DANCE_FLOOR(16) !HPF$ DISTRIBUTE (BLOCK) ONTO DANCE_FLOOR::FRUG CALL TERPSICHORE(FRUG(1:40:3)) \EDOC The array section \texttt{FRUG(1:40:3)} is mapped onto abstract processors in the following manner: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,100){\makebox(35,25){\tt 4}} \put(0,25){\makebox(35,25){\tt 7}} \put(35,150){\makebox(35,25){\tt 10}} \put(35,75){\makebox(35,25){\tt 13}} \put(35,0){\makebox(35,25){\tt 16}} \put(70,125){\makebox(35,25){\tt 19}} \put(70,50){\makebox(35,25){\tt 22}} \put(105,175){\makebox(35,25){\tt 25}} \put(105,100){\makebox(35,25){\tt 28}} \put(105,25){\makebox(35,25){\tt 31}} \put(140,150){\makebox(35,25){\tt 34}} \put(140,75){\makebox(35,25){\tt 37}} \put(140,0){\makebox(35,25){\tt 40}} \end{picture} \end{center} Suppose first that the interface to the subroutine \texttt{TERPSICHORE} looks like this: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ INHERIT FOXTROT \EDOC The template of \texttt{FOXTROT} is a copy of the 128 element template of the whole array \texttt{FRUG}. The template is mapped like this: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,150){\makebox(35,25){\tt 2}} \put(0,125){\makebox(35,25){\tt 3}} \put(0,100){\makebox(35,25){\tt 4}} \put(0,75){\makebox(35,25){\tt 5}} \put(0,50){\makebox(35,25){\tt 6}} \put(0,25){\makebox(35,25){\tt 7}} \put(0,0){\makebox(35,25){\tt 8}} \put(35,175){\makebox(35,25){\tt 9}} \put(35,150){\makebox(35,25){\tt 10}} \put(35,125){\makebox(35,25){\tt 11}} \put(35,100){\makebox(35,25){\tt 12}} \put(35,75){\makebox(35,25){\tt 13}} \put(35,50){\makebox(35,25){\tt 14}} \put(35,25){\makebox(35,25){\tt 15}} \put(35,0){\makebox(35,25){\tt 16}} \put(70,175){\makebox(35,25){\tt 17}} \put(70,150){\makebox(35,25){\tt 18}} \put(70,125){\makebox(35,25){\tt 19}} \put(70,100){\makebox(35,25){\tt 20}} \put(70,75){\makebox(35,25){\tt 21}} \put(70,50){\makebox(35,25){\tt 22}} \put(70,25){\makebox(35,25){\tt 23}} \put(70,0){\makebox(35,25){\tt 24}} \put(105,175){\makebox(35,25){\tt 25}} \put(105,150){\makebox(35,25){\tt 26}} \put(105,125){\makebox(35,25){\tt 27}} \put(105,100){\makebox(35,25){\tt 28}} \put(105,75){\makebox(35,25){\tt 29}} \put(105,50){\makebox(35,25){\tt 30}} \put(105,25){\makebox(35,25){\tt 31}} \put(105,0){\makebox(35,25){\tt 32}} \put(140,175){\makebox(35,25){\tt 33}} \put(140,150){\makebox(35,25){\tt 34}} \put(140,125){\makebox(35,25){\tt 35}} \put(140,100){\makebox(35,25){\tt 36}} \put(140,75){\makebox(35,25){\tt 37}} \put(140,50){\makebox(35,25){\tt 38}} \put(140,25){\makebox(35,25){\tt 39}} \put(140,0){\makebox(35,25){\tt 40}} \put(175,175){\makebox(35,25){\tt 41}} \put(175,150){\makebox(35,25){\tt 42}} \put(175,125){\makebox(35,25){\tt 43}} \put(175,100){\makebox(35,25){\tt 44}} \put(175,75){\makebox(35,25){\tt 45}} \put(175,50){\makebox(35,25){\tt 46}} \put(175,25){\makebox(35,25){\tt 47}} \put(175,0){\makebox(35,25){\tt 48}} \put(210,175){\makebox(35,25){\tt 49}} \put(210,150){\makebox(35,25){\tt 50}} \put(210,125){\makebox(35,25){\tt 51}} \put(210,100){\makebox(35,25){\tt 52}} \put(210,75){\makebox(35,25){\tt 53}} \put(210,50){\makebox(35,25){\tt 54}} \put(210,25){\makebox(35,25){\tt 55}} \put(210,0){\makebox(35,25){\tt 56}} \put(245,175){\makebox(35,25){\tt 57}} \put(245,150){\makebox(35,25){\tt 58}} \put(245,125){\makebox(35,25){\tt 59}} \put(245,100){\makebox(35,25){\tt 60}} \put(245,75){\makebox(35,25){\tt 61}} \put(245,50){\makebox(35,25){\tt 62}} \put(245,25){\makebox(35,25){\tt 63}} \put(245,0){\makebox(35,25){\tt 64}} \put(280,175){\makebox(35,25){\tt 65}} \put(280,150){\makebox(35,25){\tt 66}} \put(280,125){\makebox(35,25){\tt 67}} \put(280,100){\makebox(35,25){\tt 68}} \put(280,75){\makebox(35,25){\tt 69}} \put(280,50){\makebox(35,25){\tt 70}} \put(280,25){\makebox(35,25){\tt 71}} \put(280,0){\makebox(35,25){\tt 72}} \put(315,175){\makebox(35,25){\tt 73}} \put(315,150){\makebox(35,25){\tt 74}} \put(315,125){\makebox(35,25){\tt 75}} \put(315,100){\makebox(35,25){\tt 76}} \put(315,75){\makebox(35,25){\tt 77}} \put(315,50){\makebox(35,25){\tt 78}} \put(315,25){\makebox(35,25){\tt 79}} \put(315,0){\makebox(35,25){\tt 80}} \put(350,175){\makebox(35,25){\tt 81}} \put(350,150){\makebox(35,25){\tt 82}} \put(350,125){\makebox(35,25){\tt 83}} \put(350,100){\makebox(35,25){\tt 84}} \put(350,75){\makebox(35,25){\tt 85}} \put(350,50){\makebox(35,25){\tt 86}} \put(350,25){\makebox(35,25){\tt 87}} \put(350,0){\makebox(35,25){\tt 88}} \put(385,175){\makebox(35,25){\tt 89}} \put(385,150){\makebox(35,25){\tt 90}} \put(385,125){\makebox(35,25){\tt 91}} \put(385,100){\makebox(35,25){\tt 92}} \put(385,75){\makebox(35,25){\tt 93}} \put(385,50){\makebox(35,25){\tt 94}} \put(385,25){\makebox(35,25){\tt 95}} \put(385,0){\makebox(35,25){\tt 96}} \put(420,175){\makebox(35,25){\tt 97}} \put(420,150){\makebox(35,25){\tt 98}} \put(420,125){\makebox(35,25){\tt 99}} \put(420,100){\makebox(35,25){\tt 100}} \put(420,75){\makebox(35,25){\tt 101}} \put(420,50){\makebox(35,25){\tt 102}} \put(420,25){\makebox(35,25){\tt 103}} \put(420,0){\makebox(35,25){\tt 104}} \put(455,175){\makebox(35,25){\tt 105}} \put(455,150){\makebox(35,25){\tt 106}} \put(455,125){\makebox(35,25){\tt 107}} \put(455,100){\makebox(35,25){\tt 108}} \put(455,75){\makebox(35,25){\tt 109}} \put(455,50){\makebox(35,25){\tt 110}} \put(455,25){\makebox(35,25){\tt 111}} \put(455,0){\makebox(35,25){\tt 112}} \put(490,175){\makebox(35,25){\tt 113}} \put(490,150){\makebox(35,25){\tt 114}} \put(490,125){\makebox(35,25){\tt 115}} \put(490,100){\makebox(35,25){\tt 116}} \put(490,75){\makebox(35,25){\tt 117}} \put(490,50){\makebox(35,25){\tt 118}} \put(490,25){\makebox(35,25){\tt 119}} \put(490,0){\makebox(35,25){\tt 120}} \put(525,175){\makebox(35,25){\tt 121}} \put(525,150){\makebox(35,25){\tt 122}} \put(525,125){\makebox(35,25){\tt 123}} \put(525,100){\makebox(35,25){\tt 124}} \put(525,75){\makebox(35,25){\tt 125}} \put(525,50){\makebox(35,25){\tt 126}} \put(525,25){\makebox(35,25){\tt 127}} \put(525,0){\makebox(35,25){\tt 128}} \end{picture} \end{center} \noindent \texttt{FOXTROT(I)} is aligned with element 3*I-2 of the template. Suppose on the other hand that the interface to \texttt{TERPSICHORE} looks like this: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ DISTRIBUTE FOXTROT(BLOCK) \EDOC In this case, the template of \texttt{FOXTROT} is its natural template; it has the same size 14 as \texttt{FOXTROT} itself. The actual argument, \texttt{FRUG(1:40:3)} is mapped to the 16 processors in this manner: \begin{center} \begin{tabular}{cc} Abstract & Elements \\ processor & of FRUG \\ 1 & 1, 2, 3 \\ 2 & 4, 5, 6 \\ 3 & 7, 8 \\ 4 & 9, 10, 11 \\ 5 & 12, 13, 14 \\ 6--16 & none \end{tabular} \end{center} That is, the original positions (in the template of the actual argument) of the elements of the dummy are as follows: \begin{center} \setlength{\unitlength}{0.01in} \begin{picture}(560,225)(0,0) \put(0,200){\makebox(35,25){\small\rm 1}} \put(35,200){\makebox(35,25){\small\rm 2}} \put(70,200){\makebox(35,25){\small\rm 3}} \put(105,200){\makebox(35,25){\small\rm 4}} \put(140,200){\makebox(35,25){\small\rm 5}} \put(175,200){\makebox(35,25){\small\rm 6}} \put(210,200){\makebox(35,25){\small\rm 7}} \put(245,200){\makebox(35,25){\small\rm 8}} \put(280,200){\makebox(35,25){\small\rm 9}} \put(315,200){\makebox(35,25){\small\rm 10}} \put(350,200){\makebox(35,25){\small\rm 11}} \put(385,200){\makebox(35,25){\small\rm 12}} \put(420,200){\makebox(35,25){\small\rm 13}} \put(455,200){\makebox(35,25){\small\rm 14}} \put(490,200){\makebox(35,25){\small\rm 15}} \put(525,200){\makebox(35,25){\small\rm 16}} \thinlines \multiput(0,25)(0,25){7}{\line(1,0){560}} \thicklines \multiput(0,0)(0,200){2}{\line(1,0){560}} \multiput(0,0)(35,0){17}{\line(0,1){200}} \put(0,175){\makebox(35,25){\tt 1}} \put(0,100){\makebox(35,25){\tt 2}} \put(0,25){\makebox(35,25){\tt 3}} \put(35,150){\makebox(35,25){\tt 4}} \put(35,75){\makebox(35,25){\tt 5}} \put(35,0){\makebox(35,25){\tt 6}} \put(70,125){\makebox(35,25){\tt 7}} \put(70,50){\makebox(35,25){\tt 8}} \put(105,175){\makebox(35,25){\tt 9}} \put(105,100){\makebox(35,25){\tt 10}} \put(105,25){\makebox(35,25){\tt 11}} \put(140,150){\makebox(35,25){\tt 12}} \put(140,75){\makebox(35,25){\tt 13}} \put(140,0){\makebox(35,25){\tt 14}} \end{picture} \end{center} This layout (3 elements on the first processor, 3 on the second, 2 on the third, 3 on the fourth, \dots) cannot properly be described as a \texttt{BLOCK} distribution. Therefore, remapping will take place at the call. Remapping can be avoided without using \texttt{INHERIT} by explicitly aligning the dummy to a declared template of size 128 distributed \texttt{BLOCK}: \CODE SUBROUTINE TERPSICHORE(FOXTROT) LOGICAL FOXTROT(:) !HPF$ PROCESSORS DANCE_FLOOR(16) !HPF$ TEMPLATE, DISTRIBUTE(BLOCK) ONTO DANCE_FLOOR::GURF(128) !HPF$ ALIGN FOXTROT(J) WITH GURF(3*J-2) \EDOC \begin{users} The advantage of this technique is that, where it can be used, it gives the compiler more information; this information can often be used to generate more efficient code. \end{users} \section{Explicit Interfaces} \label{mapsub:ExplicitInterfaces} An explicit interface is required \emph{except} when all four of the following conditions hold: \begin{enumerate} \item Fortran does not require one, \emph{and} \item No dummy argument is passed transcriptively or with the \texttt{INHERIT} attribute, \emph{and} \item For each pair of corresponding actual and dummy arguments, either: \begin{enumerate} \item They are both implicitly mapped, or \item They are both explicitly mapped and the conditions in Section~\ref{mapsub:NoExplicitInterface} are satisfied. \end{enumerate} \emph{and} \item For each pair of corresponding actual and dummy arguments, either: \begin{enumerate} \item Both are sequential, or \item Both are nonsequential. \end{enumerate} \end{enumerate} \begin{rationale} This has the following consequences: \begin{itemize} \item A plain Fortran program (i.e., with no HPF directives) will continue to be legal without the need to add additional interfaces. This is insured by items 1, 2, 3a, and 4a. \item If remapping is necessary, this fact will be visible to the caller. Thus the implementation may choose to have all remapping performed by the caller. \end{itemize} \end{rationale} \begin{users} This requirement pushes the user strongly in the direction of always providing explicit interfaces. This is a good thing---explicit interfaces allow many errors to be caught at compile-time and greatly speed up the process of robust software development. Note, that an explicit interface can be provided in three ways: \begin{enumerate} \item Module subprograms have an explicit interface. \item Contained subprograms have an explicit interface. \item An explicit interface may be provided by an interface block. \end{enumerate} In addition, an intrinsic procedure always has an explicit interface by definition. The idiomatic Fortran way of programming makes extensive use of modules; every subprogram, for instance, can be in a module. This provides explicit interfaces automatically, with no extra effort on the part of the programmer. It should very seldom be necessary to write an interface block. \end{users} \subsection{Explicit Mappings Without an Explicit Interface} \label{mapsub:NoExplicitInterface} When there is no explicit interface, the actual and dummy arguments may still be explicitly mapped (but not transcriptively or with the \texttt{INHERIT} attribute), as long as the conditions in this section are satisfied. \begin{users} These conditions are complex. The important thing to realize is that you don't have to read any of this if you have an explicit interface. So if there is any doubt in your mind, just make sure you have an explicit interface. \end{users} \begin{enumerate} \item The actual argument must be a named object. (So for instance, the actual argument cannot be an array section.) \item The shapes of the ultimate align targets of the dummy and the actual must be the same. \item Either \begin{enumerate} \item the ultimate align targets of the dummy and actual must not have been explicitly distributed, or \item the \texttt{DISTRIBUTE} directives specified for both ultimate align targets must \begin{enumerate} \item have a \textit{dist-onto-clause} specifying processor arrangements with the same shape; and \item specify a \textit{dist-format-clause} with the same \textit{dist-format}s in corresponding positions, except that a \textit{dist-format} of \texttt{BLOCK} is regarded as the same as a \textit{dist-format} of \texttt{BLOCK(\(n\))} if the the actual blocking size of the \texttt{BLOCK} distribution has the same value as \(n\); and the same for \texttt{CYCLIC} and \texttt{CYCLIC(\(n\))}. \end{enumerate} \end{enumerate} \item Each dimension of the actual and dummy must correspond to the same dimension of their respective ultimate align targets, and corresponding elements of the actual and dummy must be aligned with the same corresponding elements of their respective ultimate align targets. \end{enumerate} \section{Restrictions on Pointers and Targets} \label{mapsub:pointers} If, on invocation of a procedure P: (a)~a dummy argument has the \texttt{TARGET} attribute, and (b)~the corresponding actual argument has the \texttt{TARGET} attribute and is not an array section with a vector subscript (and therefore is an object A or a section of an array A), then the program is not HPF-conforming unless: \begin{enumerate} \item No remapping of the actual argument occurs during the call; or \item the remainder of program execution would be unaffected if \begin{enumerate} \item\label{first-item} each pointer associated with any portion of the dummy argument or with any portion of A during execution of P were to acquire undefined pointer association status on exit from P; and \item\label{second-item} each pointer associated with any portion of A before the call were to acquire undefined pointer association status on entry to P and, if not reassigned during execution of P, were to be restored on exit to the pointer association status it had before entry. \end{enumerate} \end{enumerate} Note that if a dummy argument has the \texttt{TARGET} attribute and no explicit mapping attributes, then the \texttt{INHERIT} attribute is implicitly assumed (see section~\ref{INHERIT-SECTION}); therefore no remapping occurs for such a dummy argument and there is no problem. \begin{rationale} These restrictions are made in order to support the following part of the Fortran standard (in Section 12.4.1.1 of that document) in the face of implicit remapping across the subprogram interface: \begin{quote} If the dummy argument does not have the \texttt{TARGET} or \texttt{POINTER} attribute, any pointers associated with the actual argument do not become associated with the corresponding dummy argument on invocation of the procedure. If the dummy argument has the \texttt{TARGET} attribute and the corresponding actual argument has the \texttt{TARGET} attribute but is not an array section with a vector subscript: \begin{enumerate} \item Any pointers associated with the actual argument become associated with the corresponding dummy argument on invocation of the procedure. \item When execution of the procedure completes, any pointers associated with the dummy argument remain associated with the actual argument. \end{enumerate} If the dummy argument has the \texttt{TARGET} attribute and the corresponding actual argument does not have the \texttt{TARGET} attribute or is an array section with a vector subscript, any pointers associated with the dummy argument become undefined when execution of the procedure completes. \end{quote} \end{rationale} \subsection{Example} Here is an example that illustrates the restrictions of this section: \CODE INTEGER, TARGET, DIMENSION (10) :: ACT INTEGER, POINTER, DIMENSON (:) :: POINTS_TO_ACT, POINTS_TO_DUM !HPF$ DISTRIBUTE ACT(BLOCK) POINTS_TO_ACT => ACT CALL F(ACT) POINTS_TO_DUM(1) = 1 ! ILLEGAL CONTAINS SUBROUTINE F(DUM) INTEGER, TARGET, DIMENSION(10) :: DUM !HPF$ DISTRIBUTE DUM(CYCLIC) POINTS_TO_DUM => DUM POINTS_TO_ACT(1) = 1 ! ILLEGAL END SUBROUTINE END \EDOC The assignment to \texttt{POINTS_TO_DUM(1)} is illegal because it violates item~\ref{first-item}; the assignment to \texttt{POINTS_TO_ACT(1)} is illegal because it violates item~\ref{second-item}. \section{Argument Passing and Sequence Association} For actual arguments in a procedure call, Fortran allows an array element (scalar) to be associated with a dummy argument that is an array. It furthermore allows the shape of a dummy argument to differ from the shape of the corresponding actual array argument, in effect reshaping the actual argument via the procedure call. Storage sequence properties of Fortran are used to identify the values of the dummy argument. This feature, carried over from FORTRAN 77, has been widely used to pass starting addresses of subarrays, rows or columns of a larger array, to procedures. For HPF arrays that are potentially mapped across processors, this feature is not fully supported. \subsection{Sequence Association Rules} \begin{enumerate} \item When an array element or the name of an assumed-size array is used as an actual argument, the associated dummy argument must be a scalar or specified to be a sequential array. An array-element designator of a nonsequential array must not be associated with a dummy array argument. \item When an actual argument is an array or array section and the corresponding dummy argument differs from the actual argument in shape, then the dummy argument must be declared sequential and the actual array argument must be sequential. \item An object of type character (scalar or array) is nonsequential if it conforms to the requirements of Definition~\ref{seq-var} of Section~\ref{sequence-defs}. If the length of an explicit-length character dummy argument differs from the length of the actual argument, then both the actual and dummy arguments must be sequential. \item Without an explicit interface, a sequential actual may not be associated with a nonsequential dummy and a nonsequential actual may not be associated with a sequential dummy. (This item merely repeats part of Section~\ref{mapsub:ExplicitInterfaces} \end{enumerate} \subsection{Discussion of Sequence Association} When the shape of the dummy array argument and its associated actual array argument differ, the actual argument must not be an expression. There is no HPF mechanism for declaring that the value of an array-valued expression is sequential. In order to associate such an expression as an actual argument with a dummy argument of different rank, the actual argument must first be assigned to a named array variable that is forced to be sequential according to Definition~\ref{seq-var} of Section~\ref{sequence-defs}. \subsection{Examples of Sequence Association} Given the following subroutine fragment: \CODE SUBROUTINE HOME (X) DIMENSION X (20,10) \EDOC By rule 1 \CODE CALL HOME (ET (2,1)) \EDOC is legal only if \texttt{X} is declared sequential in \texttt{HOME} and \texttt{ET} is sequential in the calling procedure. Likewise, by rule 2 and 4 \CODE CALL HOME (ET) \EDOC requires either that \texttt{ET} and \texttt{X} are both sequential arrays or that \texttt{ET} and \texttt{X} have the same shape and have the same sequence attribute. Rule 3 addresses a special consideration for objects of type character. Change of the length of character objects across a call, as in \CODE CHARACTER (LEN=44) one_long_word one_long_word = 'Chargoggagoggmanchaugagoggchaubunagungamaugg' CALL webster(one_long_word) SUBROUTINE webster(short_dictionary) CHARACTER (LEN=4) short_dictionary (11) !Note that short_dictionary(3) is 'agog', for example \EDOC \noindent is conceptually legal in Fortran. In HPF, both the actual argument and dummy argument must be sequential. (Chargoggagoggmanchaugagoggchaubunagungamaugg is the original Nipmuc name for what is now called Lake Webster in Massachusetts.) --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 15 23:25:34 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id XAA25660 for hpff-doc-out; Thu, 15 Aug 1996 23:25:34 -0500 (CDT) Received: from newcs.ucsd.edu (newcs.ucsd.edu [132.239.51.18]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id XAA25654 for ; Thu, 15 Aug 1996 23:25:30 -0500 (CDT) Received: from gili.ucsd.edu (gili.ucsd.edu [132.239.15.23]) by newcs.ucsd.edu (8.7.5/CSE-External-1.4) with ESMTP id VAA07403 for ; Thu, 15 Aug 1996 21:25:27 -0700 (PDT) Received: (from baden@localhost) by gili.ucsd.edu (8.7.5/CSE-Internal-1.1) id VAA04689 for hpff-doc@cs.rice.edu; Thu, 15 Aug 1996 21:25:27 -0700 (PDT) From: "Scott B. Baden" Message-Id: <199608160425.VAA04689@gili.ucsd.edu> Subject: hpff-doc: SPMD-to-hpf-ext.tex To: hpff-doc@cs.rice.edu Date: Thu, 15 Aug 1996 21:25:26 -0700 (PDT) Content-Type: text Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- % File: spmd-to-hpf-ext.tex % Contents: % Approved Extension for SPMD interface to HPF for HPF 2.0 document % Revision history: % Aug-8-96 Created by Scott B. Baden, UCSD % Aug-15-96 Scott B. Baden, UCSD \chapter{Approved Extensions for SPMD calling HPF} \label{ch-spmd-hpf} {\em Comments on this chapter should be directed to Scott Baden ({\tt baden@cs.ucsd.edu}) and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on SPMD-to-HPF}'' as the {\tt Subject:} line. \par } \section{SPMD calling HPF} \label{f90-locals} \newcommand{\PROCS} {{\tt PROCESSORS} } \newcommand{\HPFINIT} {{\tt HPF\_INIT} } \newcommand{\HPFLOCAL} {{\tt EXTRINSIC(HPF\_LOCAL)}} \newcommand{\MAD} {{\tt MAD}} \newcommand{\CPP} {{\tt C++}} \newcommand{\MA} {{\tt MAPPED\_ARRAY}} \newcommand{\TMA} {{\tt TO\_MAPPED\_ARRAY}} \newcommand{\offset}[1]{\begin{center} \tt #1 \end{center}} % ******************** Start of Document ******************** \section{SPMD Coordination of HPF} The current HPF standard does not address the problem of coordinating the concurrent execution of multiple HPF procedure invocations, nor their interaction via an SPMD harness written in an extrinsic language such as \CPP. We propose an interface for coordinating concurrently executing HPF procedures from an extrinsic SPMD layer. This interface requires neither language extensions nor new language features, and requires only a handful of library entries that access the HPF run time system. The proposed interface is language-independent. It enables inter-operability between software components developed in different languages. Note: Chuck Koelbel and Joel Saltz assisted in the development of this proposal. \section{Programming Model} Our model comprises multiple HPF invocations that interact with each other concurrently. Separate HPF invocations will be orchestrated via an SMPD program, and may or may not involve the identical code. HPF invocations will import scalars and global arrays allocated from the SMPD program. The primary concern here in how to deal with global arrays. The SPMD code which controls the interaction of multiple HPF invocations may be written in \HPFLOCAL\ or another extrinsic language, e.g. \CPP. We will use \HPFLOCAL\ here. Other possibilities include multiple HPF programs that communicate by calling an extrinsic SPMD program, but this has already been addressed elsewhere in this document (see {\em An HPF binding for MPI}, chapter \ref{HPF-binding-for-MPI}.) The discussions in this approved extension augment those outlined in the \HPFLOCAL\ interface with extensions that may facilitate coordination via extrinsic languages like \CPP. \section{The Interface} Our proposed interface specifies the interaction of an SPMD program, written in an extrinsic language, that calls HPF. The interface supports the allocation of, and access to, HPF global arrays from the SPMD coordinating code. SPMD code views each HPF global array as an entity called a {\em mapped array} which will refer to as a \MA. It is assumed that the HPF compiler translates a call to an HPF entry as follows. First, an implementation-specific {\em name-mangling} rule is applied to the entry name to conform with linkage conventions. Second, each global array argument is converted to a \MA\ argument. (Scalars are passed unchanged.) The conversion process in implementation-dependent. For example, some implementations convert each global array argument into a pair of arguments: a {\em mapped array descriptor} or \MAD\, and a pointer to the start of the local storage for the mapped array. In this case two arguments would actually be passed for each mapped array argument, though the number and representation of these arguments is generally implementation-dependent. By an abuse of notation we will refer to a mapped array reference as if it were a reference to value of a distinguished type \MA. While no such type may in fact exist, the notation simplifies the ensuing discussions. We will employ the notation \TMA{\tt (A)} to designate the desired conversion of global array argument {\tt A} to a reference of type \MA. Thus, an argument of the form \TMA{\tt (A)} is understood to represent the \(k>1\) actual parameters, which might, for example, contain a corresponding \MAD\ and starting address. Similarly a declaration of the form \offset{MAPPED\_ARRAY(A)} is understood to declare \(k>1\) variables; in the above example, there would be one declaration for the \MAD, another for the starting address to the corresponding local data. As described below, the interface includes various entries for querying and manipulation \MA. This interface should be packaged as a module (in the case of \HPFLOCAL) as described at the end of this chapter. This module must be {\tt USEd} in all program source files that employ the proposed interface. \subsection{Execution Model} This proposal defines a language-independent interface consisting of a set of entries that enables SPMD code written in an extrinsic language to communicate with HPF. Interfaces for other extrinsic languages, e.g. C are out of the scope of this document; refer to section \ref{interoperability-with-c} which discusses the symmetric case of calling C from HPF. We define SPMD execution as follows. An SPMD program executes on a {\em process group}. We identify an HPF \PROCS\ arrangement with a process group, and employ an opaque object called a {\em communicator} (as in MPI) to specify the group's membership. The advantage of this approach is that the values returned by {\tt NUMBER\_OF\_PROCESSORS} and {\tt PROCESSORS\_SHAPE} are well-defined, as are collective communication operations. %Note that it is possible to dynamically change the members of a process %group or to change the group's topology by modifying %attributes of the %communicator. Each process will be considered a physical processor by the HPF code. The called HPF program will have access to members of the process group. It will not, however, have direct access to processes outside that group. All members of a process group execute the same program in loosely synchronous fashion, collectively making calls to HPF procedures (including those defined by the proposed interface) {\em as if\ } at the same time. (Calls to HPF from SPMD may or may not need to be explicitly synchronized at a barrier.) As far as the HPF procedure is concerned, it will not know the origin of the argument, which could have in fact originated from another HPF program. It follows that the SPMD program is responsible for passing mapped arrays to an HPF procedure in conformance with the procedure's expectations, i.e. the distribution must match and so on. All invocations of HPF procedures in the process group must pass the same \MA\ in each corresponding position of the argument list (remembering that the accompanying local data will be generally be different for each invocation.) Scalar arguments must be consistent among all members of the process group. \begin{implementors} Implementation of the ``HPF-from-extrinsic'' interface will be facilitated with MPI. However, implementors are free to employ their own implementation strategy. Implementors who do not employ MPI need a mechanism for defining groups of processors that only talk to each other; non-MPI implementations will obviously treat these differently from MPI ones. The use of the proposed interface will be simplified by the provision of a macro called \TMA, to translate an HPF global array reference to a \MA, containing the appropriately formed \MAD\ and the start of the local data area. \end{implementors} \subsection{HPF Run Time Initialization} A call to a procedure \HPFINIT\ is required to establish various state needed by the HPF run time system, that will, for example, enable, the processor to determine `who it is.' \HPFINIT\ must be passed a communicator corresponding to the process group used to invoke the HPF program(s). Successive calls to \HPFINIT\ may be used to set up alternative \PROCS\ topologies or as required to invoke HPF code on different processor groups. \begin{implementors} \HPFINIT\ should extract the \PROCS\ topology from the communicator passed into it. A mechanism is required for managing MPI-style communicators; either MPI will be available from the SPMD program, or the implementor must provide equivalent functionality. \end{implementors} Two or more HPF invocations may be simultaneously active if they execute on different communicators with disjoint process groups. To achieve this, the individual groups each define their own communicator. The separate communicators are then used by \HPFINIT\ to establish the communication domains. To handle multiple HPF invocations across different processing groups, the SPMD coordinating code may need to explicitly query each processor for membership within the desired communicator. For example, if we are invoking procedures {\tt A1, A2} on one processor group, and procedure {\tt B} on another, then we employ the following: \begin{verbatim} ! Set up the processor groups call HPF_INIT(GroupA, ...) call HPF_INIT(GroupB, ...) ! isMember( ) determines membership within the respective communicators if ( isMember(GroupA)) then call A1(...) call A2(...) else if ( isMember(GroupB)) then call B(....) end if \end{verbatim} HPF programs associated with overlapping communicators can also be defined, but require additional system support to execute in parallel. (In effect, the underlying system must allow multi-threading to allow the process(es) in the overlap to participate in both HPF programs at once.) Such support may be desirable, but is not mandated by this proposal. Overlapping communicators could, however, be useful in different phases. For example, one phase might use 8 processes, followed by another phase using only 4. The programmer could accomplish this by creating an 8-process communicator and a 4-processes communicator with a subset of the processes. \HPFINIT\ would have to be called to establish the communicator for each phase to alert the HPF runtime that a different communicator was in use. Regardless of how the communicators are set up, an HPF procedure has access only to the process group associated with the communicator in the last executed \HPFINIT\ call. This allows us to define {\tt NUMBER\_OF\_PROCESSORS} to return the number of processes in that communicator, and similarly make consistent definitions for the other HPF inquiry procedures. It follows that SPMD code must invoke an HPF procedure on {\em exactly} those processors in the intended processor group---no more an no less. This will likely be supported by a conditional statement which will determine membership within the respective communication domains established by SPMD program. Note that physical processors in different communicators may return different values for {\tt NUMBER\_OF\_PROCESSORS}, but they cannot be executing the same instantiation of an HPF procedure. This implies that actual arguments to an HPF procedure must all be allocated from the same process group, and that data motion between mapped arrays allocated to different process groups must be handled at the SPMD level. (MPI's inter-communicators allow precisely this sort of communication.) We restrict global data accessed in the HPF procedure in the same way. \subsection{Global Array Allocation From SPMD} The functionality required to support extrinsic SPMD coordination of HPF invocations centers on the ability to allocate, from the SPMD level, global HPF arrays with a specified \PROCS\ arrangement, alignment, and decomposition. In the interest of simplicity, allocation will be restricted as follows. \begin{enumerate} \item Only arrays of built types are permitted, i.e. arrays of derived types are excluded. \item Only {\tt BLOCK, *, CYCLIC, } and {\tt CYCLIC(N)} decompositions are supported. \item Only the identity alignment is supported. Identically aligned arrays must have the same rank and extents. \end{enumerate} A process group dynamically allocates a mapped array using the call \noindent \subsubsection*{alloc\_mapped\_arrayTTT(A, NDIM, EXTENTS, DECOMP, [ALIGN])} \begin{tabular}{ll} {\bf OUT} A & a MAPPED\_ARRAY \\ {\bf IN} NDIM & number of dimensions \\ {\bf IN} EXTENTS & extents of the indices of the array ({\tt 2*NDIM} entries) \\ {\bf IN} DECOMP & decomposition ({\tt NDIM} entries) \\ {\bf IN} ALIGN & a previously allocated \MA\ (optional) \\ \end{tabular} \vspace{0.1in} \noindent {\tt TTT} is one of 5 built in HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} The first argument actually refers to the global array to be allocated by HPF. The {\tt NDIM} and {\tt EXTENT} arguments specify the number and extent of the array axes, the {\tt DECOMP} argument their decomposition across processors. Each element of {\tt DECOMP} must be one of the following predefined names: \offset{SERIAL, BLOCK, CYCLIC, CYCLIC(N)} \noindent where {\tt CYCLIC(N)} will be mapped onto distinct values for distinct values of {\tt N.} The final argument is optional; it is specifies an existing array to which the newly-allocated array will be aligned. Such allocations are restricted to identity alignments only; the {\tt NDIM, EXTENTS,} and {\tt DECOMP} specifications must also be identical as well. The extrinsic SPMD layer may access a global array through a \MA\ reference. The interface does not permit direct access to the \MA, since manufacturers need flexibility in representing a mapped array. Rather, we treat a \MA\ as an opaque object, and provide entries that permit the SPMD program to query the global array---e.g. determine global shape, local shape, decomposition, and so on---or to modify it. This is nicely defined in the \HPFLOCAL\ interface (see \ref{hpf-local}), which we adapt for the task at hand. \begin{enumerate} \item All mapped HPF arrays accessible from an SPMD procedure are logically carved up into blocks; the SPMD process executing on a particular physical processor sees an array containing just those elements of the global array that are mapped to that physical processor. \item The model assumes that array axes are mapped independently to axes of a rectangular \PROCS\ grid, each array axis to at most one \PROCS\ axis (no ``skew" distributions) and no two array axes to the same \PROCS\ axis. This restriction suffices to ensure that each physical processor contains a subset of array elements that can be locally arranged in a rectangular configuration (of course to compute the global indices of an element given its local indices or vice verse, may be quite a tangled computation-- but it will be possible) \item The portion of a mapped array argument in an {\tt HPF\_LOCAL} subprogram associated with a global array dummy argument in an HPF program may be accessed in a block-by-block fashion. Library procedures (described below) such as {\tt LOCAL\_BLKCNT}, {\tt LOCAL\_LINDEX}, and {\tt LOCAL\_UINDEX}, allow easy access to the local storage of a particular block. \end{enumerate} \begin{implementors} Random access to the elements of a mapped array is likely to be expensive, but aggregate (block) moves should be efficient. Implementations that employ ghost cells or shadow regions may need to provide the capability of accessing such additional data. This proposal does not specify how ghost cells are to be accessed or manipulated. \end{implementors} \subsection{Queries and Mapped Array Access} We require a number of entries to enable the programmer to access and query a mapped array from SPMD. These queries are divided into pre-existing functionality, derived from the \HPFLOCAL\ specification, as well as {\em new} functionality. \subsubsection{Existing functionality} Included are\\ \begin{tabular}{lll} {\tt GLOBAL\_ALIGNMENT} & {\tt GLOBAL\_DISTRIBUTION} & {\tt GLOBAL\_TEMPLATE } \\ {\tt GLOBAL\_LBOUND } & {\tt GLOBAL\_UBOUND } & {\tt GLOBAL\_SHAPE }\\ {\tt GLOBAL\_SIZE } & {\tt ABSTRACT\_TO\_PHYSICAL } & {\tt PHYSICAL\_TO\_ABSTRACT }\\ {\tt LOCAL\_TO\_GLOBAL } & {\tt GLOBAL\_TO\_LOCAL } & {\tt LOCAL\_BLKCNT }\\ {\tt LOCAL\_LINDEX } & {\tt LOCAL\_UINDEX} & {\tt MY\_PROCESSOR }\\ \end{tabular} \ \\ \noindent Note that we employ a \MA\ reference in lieu of the global HPF array arguments that the \HPFLOCAL\ interface specifies for these functions. For example, we consider the procedure {\tt GLOBAL\_SHAPE} (Other procedures will be handled similarly): % Definition of GLOBAL_SHAPE \subsubsection*{GLOBAL_SHAPE(SOURCE)} \? Description. Returns the shape of the global HPF array associated with \MA\ passed as the actual argument. \\ \? Class. Inquiry function. \\ \? Argument. \Arg SOURCE A \MA. \\ \? Result Type, Type Parameter and Shape. The result is a default integer array of rank one whose size is equal to the rank of the HPF global array associated with {\tt SOURCE}. \\ \? Result Value. The value of the result is the shape of the global array associated with the actual argument associated with {\tt SOURCE}. \\ \? Examples. Assuming that global array {\tt A} has been allocated by the call\\ {\tt alloc\_mapped\_array(TO\_MAPPED\_ARRAY(A),NDIM=2,EXTENTS=/(3,100,1,200/),...),} the value returned by {\tt GLOBAL_SHAPE(TO\_MAPPED\_ARRAY(A))} is \VECTOR{98 200}. \\ \begin{implementors} Since HPF procedures can't distinguish the difference between a global argument passed from an explicit SPMD program and an HPF program, it would be possible to implement the above functions using the \HPFLOCAL\ interface. However, doing so may not to be as efficient as taking advantage of direct access to layout information provided by the compiler. \end{implementors} \subsubsection{New Functionality} In addition to the procedure for allocating global arrays, we need a procedure to copy one mapped array into another. The calling sequence of this operation is as follows: \subsubsection*{copy\_mapped\_array\_TTT(SRC, DEST)} \begin{tabular}{r ll} {\tt IN} & {\tt SRC} & \MA -- source \\ {\tt OUT} & {\tt DEST} & \MA -- destination \\ \end{tabular} \noindent where {\tt TTT} is one of 5 built in HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} \noindent The source and destination descriptors may or may not be allocated to the same processor group. There is also a variant of {\tt copy\_mapped\_arrayTTT} that copies over designated array sections: \subsubsection*{copy\_mapped\_array\_secTTT(SRC, DEST, S\_SECT, D\_SECT)} \begin{tabular}{r ll} {\tt IN} & {\tt SRC} & \MA -- source \\ {\tt OUT} & {\tt DEST} & \MA -- destination \\ {\tt IN} & {\tt S\_SECT} & source array section specifier \\ {\tt IN} & {\tt D\_SECT} & destination array section specifier \\ \end{tabular} The array section specifiers are {\tt INTEGER} \(d\)-tuples (arrays) where \(d\) is the common rank of the arrays. The format of these tuples is \((r_0, r_1, ..., r_{d-1}\)) where each \(r_k\) specifies the integer range of indices for axis \(k\), i.e. the array section {\tt (3:4, 5:6)} is specified as {\tt /(3,4, 5,6/).} \begin{implementors} Though the {\tt copy\_mapped\_array\_secTTT( )} could be implemented using the \HPFLOCAL\ interface, doing so may not to be as efficient as taking advantage of direct access to layout information provided by the compiler. \end{implementors} \subsection{Summary of what is to be provided} In practice, multi-lingual programming can be given only minimal language and compiler support. Some installation-dependent coding is required, for example to handle name mangling, argument passing conventions, and so on. Such code is generally not portable. We propose an interface that does not rely on language extensions, yet which offers reasonable assurances of portability. To this end, we strongly recommend that sites wishing to support SPMD applications inter-operating with HPF provide the following constants and entries and package them in a {\tt MODULE}. (In the case of {\tt f77, C,} or \CPP, these would be packaged as part of a header file, and probably contain a class definition in the case of \CPP.) In addition, macros should be defined (described below) to facilitate manipulation of a \MA. \subsubsection*{Constants} \begin{tabular}{llll} {\tt SERIAL} & {\tt BLOCK} & {\tt CYCLIC} & {\tt CYCLIC(K)}\\ \end{tabular} Note: {\tt CYCLIC(K)} will probably be supported with a macro. \subsubsection*{Required Entries} \begin{tabular}{ll} {\tt HPF_INIT} & {\tt alloc\_mapped\_arrayTTT}\\ {\tt copy\_mapped\_array\_TTT} & {\tt copy\_mapped\_array\_secTTT} \\ \end{tabular} \vspace{0.1in} \noindent Note: {\tt TTT} is one of 5 built in HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} \noindent The following entries are optional, since they can be supported by \HPFLOCAL:\\ \begin{tabular}{lll} {\tt GLOBAL\_ALIGNMENT} & {\tt GLOBAL\_DISTRIBUTION} & {\tt GLOBAL\_TEMPLATE } \\ {\tt GLOBAL\_LBOUND } & {\tt GLOBAL\_UBOUND } & {\tt GLOBAL\_SHAPE }\\ {\tt GLOBAL\_SIZE } & {\tt ABSTRACT\_TO\_PHYSICAL } & {\tt PHYSICAL\_TO\_ABSTRACT }\\ {\tt LOCAL\_TO\_GLOBAL } & {\tt GLOBAL\_TO\_LOCAL } & {\tt LOCAL\_BLKCNT }\\ {\tt LOCAL\_LINDEX } & {\tt LOCAL\_UINDEX} & {\tt MY\_PROCESSOR }\\ \end{tabular} \vspace{0.1in} As previously noted, this approach may not to be as efficient as having direct access to layout information provided by the compiler, but it will expedite an initial prototype. \subsubsection*{Optional Macros} It is recommended that the macro \TMA\ be provided to facilitate the handling of the multiplicity of values that comprise a \MA\ argument. Similarly, the macro \MA\ is recommended for declaring a value of type \MA, e.g. \offset{MAPPED\_ARRAY(A)} declares a set of variables that collectively represent a \MA. \section{Programming Example} The application is to iteratively solve Poisson's equation on a 2-dimensional irregularly-shaped domain consisting of two coupled rectangular blocks of different sizes. The same solver is applied to each block. Because the blocks have different sizes we will allocate them to different size \PROCS\ subsets in order to balance the workloads. Prior to computing, each block must furnish boundary conditions that couple it to the other block. \CODE ! Example illustrating coordination from an extrinsic layer ! Solve the Laplace Equation on an irregular domain using Red/Black SOR ! The computational domain consists of two squares A&B ! sitting side by side and aligned with the y axis ! Square A is m x m, Square B is n x n extrinsic(hpf_local) program iter ! The MAPPED_ARRAY package is part of the interface ! It includes definitions for constants like BLOCK, SERIAL, ! the various routines that allocate global arrays, and so on use MAPPED_ARRAY ! This package specifies an HPF binding for MPI use MPI ! MAPPED_ARRAY() is a macro which declares the various pieces of information ! that make up a MAPPED_ARRAY MAPPED_ARRAY(A) MAPPED_ARRAY(B) ! Extents of A and B integer, array(4) :: A_EXT = /(0,m+1,0,m+1/), B_EXT = /(0,n+1,0,n+1/) ! Their decomposition: SERIAL corresponds to * in HPF integer, array(2) :: DECOMP = /(BLOCK,SERIAL/) real resid, convergence real function smooth real, parameter :: EPSILON = 0.001 ! Communicators Communicator COMM_A, COMM_B ! The size of the blocks are inputs to the program read *, m, n ! Allocate processors 0 to K-1 to block A, the remainder to block B ! The value of K is determined by the relative sizes of m & n ! ZERO_TO_KM1 and K_TO_PM1 are integer "color" arrays (i.e. MPI) ! specifying the membership of each processor in the respective groups ! Set up the process groups and communicators, one for each block call MPI_COMM_SPLIT(MPI_COMM_WORLD,ZERO_TO_KM1,DUMMY,COMM_A,IERROR) call init_HPF(COMM_A) call MPI_COMM_SPLIT(MPI_COMM_WORLD,K_TO_PM1,DUMMY,COMM_B,IERROR) call init_HPF(COMM_B) if (isMember(COMM_A) ! TO_MAPPED_ARRAY( ) converts the global array reference to a ! MAPPED_ARRAY. k>1 arguments may correspond to TO_MAPPED_ARRAY(A) call alloc_mapped_arrayREAL(TO_MAPPED_ARRAY(A), 2, A_EXT, DECOMP) if (isMember(COMM_B) call alloc_mapped_arrayREAL(TO_MAPPED_ARRAY(B), 2, B_EXT, DECOMP) convergence = 10.0 * epsilon do while ( convergence < epsilon ) ! Fill in the boundary cells mn = min(m,n) I0 = /(m+1,m+1,1,mn/) I1 = /(m,m,1,mn/) ! All processors in COMM_A and COMM_B must participate ! which in this case covers all processors in MPI_COMM_WORLD ! In a multiblock code with > 2 blocks, appropriate guards would be ! required to restrict execution of copy_mapped_array_secTTT( ), as ! 2 communicating grids would cover only a subset of MPI_COMM_WORLD call copy_mapped_array_secREAL(MAPPED_ARRAY(B),MAPPED_ARRAY(A),I0,I0) call copy_mapped_array_secREAL(MAPPED_ARRAY(B),MAPPED_ARRAY(A),I1,I1) ! Ensures that the global reductions are done correctly. residA = 0 residB = 0 ! These calls to HPF execute in different processor groups; their ! respective arguments were allocated with different communicators if (isMember(COMM_A)) residA = smooth(A) if (isMember(COMM_B)) residB = smooth(B) ! global reduction over all processes (MPI functionality) call _max_scalar_REAL(residA, MPI_COMM_WORLD) call _max_scalar_REAL(residB, MPI_COMM_WORLD) convergence = amax(residA, residB) enddo end program \EDOC \end{document} --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Tue Aug 20 10:29:58 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id KAA27025 for hpff-doc-out; Tue, 20 Aug 1996 10:29:58 -0500 (CDT) Date: Tue, 20 Aug 1996 10:29:58 -0500 (CDT) From: owner-hpff-doc Message-Id: <199608201529.KAA27025@cs.rice.edu> Subject: hpff-doc: Next Draft HPF2 document >From: Mary E Zosel Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- Hmmm - there seem to be a collection of minor computer problems both here, at Rice, and in my typing conspiring to keep this document from going out. Following find the current version of the HPF2 document ... it is uuencoded, compressed, tar file. When you decode it, I messed up the uuencode line and it comes out as uu817 rather than an appropriately named .Z file so you will have to rename to uncompress. Find a README in the file for the current status. We will cut a new version right after labor day. PLEASE all "readers" - make a careful effort to look over the chapter you signed up for. If it is good shape, then look for "little details" - if it is still pretty much in draft stage, you might volunteer some help. -mary- ==================== begin 600 uu817 M'YV0:."8<1&FSID8-UX`6,BPH<.'$"-*G$BQ8D48,&C`N($1`$88"&_8\(@Q MY,B/*%%ZM"$#1@T:,6+8L% (P9,6C<`%#3HL^?0(,*?5AG#ITP3.G M#)NA$9O8`,.+'@PX9@WL@#]2'DVZ-&D%"DJ`,)*&31D=(,ZF7=OV;5P\J%4/>>,F;N\Y.E*#V#V; MK5L0;M[023.F#(@P;LB`D%,F3ITR1D&8>2,G]ILV;-\#IPR8]*881YF.>_<($A1AAUIS)$&;R"@42`=W.41G&I-A)%' M"S'`T$(.-H"@H89#4-=?&=*)D<=P:"#EVAP@+/&&4V(XQ4*`S#E7A1MIV%&& M'`;2D8=P&_;HHX8HF"''=R"T\>%:8;`!PE%KB*?=D&V8AQX(,;@@`PAP#,E@ M"V2\,48=X?66`FI.+1@2*"=*#AG)"\T5%D M?W%U!YUT38WAGQL@D%%C&F3C1WX%NS/%B>'[R&66$%< M&"`TY><;9H`@EV\&\H:BIT8X"RVB8R3IFG1($&NL',@JRVS'K MAD_4T=T9;R0)PAUA;/S&!D$8;:1HZQ]7'&-.+(K=L*-GB6>'MS*A3.X9A1QBMA7%T M&2]>FUZ!R"D7,72&T@OBNMW-40<<<#B[NHC/N3$BQ?OEEZ0"1@V*%!EWRM$N MC?(>VC<(P2:.7GHE2@=QH;P1>F,:H;X=7AE.GW&WOB`$D65K_^9`0\(@/&&H MT3>&/[ZG9]5[>7?468>=G1HBZYT MO#1&OCPYQPJ.HA>5V".E]'3I2V'RTZ`4D*0Y_,Q3C;(1&]`"@J*D+WYU2`-U M,H@B^\5N4VGXG';:)K;8E.AIH?+4M7(5A+.I4'H3J]CULN>S-ZP!2^]9&91` MH`3HR$<.(S)8#FIPMB$9!`T@<,*YX-2B7DDQ0YXRX%GD$#MHQ44[9>B/V%"4 MO^^$J5&=^MD02]B4[C@,1"BZ7&\`""(%&!!QZBM2&;!G0.WE2@'!(MT%P50G M[_2&<_5Z3N0`"38TT"AD2C)#&NFP1BP-Z86KLY\#%8"NC"'J;0YT#WSD0Q\0 MK"$Y=T!4SRH(`BY`$$?T<@*8NIBK1*)(-K>K6"HS%08S^(EG*"I:L8I87E,6"@$G@4MPE3 M02A:9`9?M$'*L?":@'S/TUCI'(89<'5EXYN&KN`-G3Q<9%Z3JK@!`>)_DQ3L1MI&-\"+'@F"EK&+.MS M/.F4N1D0*2,J);V.-Z=[#NI^^1-@727)!@6LP8#`>X[9+,H&R@ET.&Y4:<0B M-:E*)4J%^(E+'`&YJC`4-GT%R1-W[L:&!:WN<*EL$4+=0".,OBV-_NKM;^6P MK6YA43;4>U0C/95*J2J`JESR4E9C%2-:D<%6%G.-H89TR3^UII#N6=`AD[>D MBXU6G0A<*KG&>DZ&XN<[.23:)V^DH[HJ0`HQ`L&,$HI+'1VR3&A1BW'HP`7U MO4B*-;@PP#*$8&8M6+,Z"IVDC,*;%TD3#SW+UBM>4*NL#HL(QJ!>$3`I,UQDA.NARE6 M3PI8#AT"ATK'RK.1OKT/4D0J'2HGF'0(M1&BDJRJ",.7="+"6[):+,&W,5G! 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M-XJCP\T$['`$A+&5'HX/=[#RP]$"U7Y%/)N9YNOGA8QXK.$!\VJ3/2H`).YJ M=HN3]47W=G''0%\<]VZ@I;\3QDG_0G%G`3D<*:[T)0I$Q?7:5G'5I0]@LTZ@ M%@VH'*N+<<,T[G M![QS!(HCI'&'OVI<;>T:1]_*@TTOW'C>JVZ<_PJ]1+ORIU6JMGZ;/&!;W(\1 M>`G$QR&R$&EUDOD:;GPCF6!OR$@28[] M5Y`[R=6[4G('0"D;P._?1Y53]@&XPG+_ODA@$([O!_?;^34"@5VH-(_<@ZN` ME[QSS:7\QGD&N9O@I$HE1^Q+=4D(JA@X,)E)XQR MX^:*>^7E_%=\.?(8:.Y9!YB;L`GFD!&+/,.<*$PW1[L:#::G/EV..<@<"$DR MAQC88FE#+'-NCLP+T>G-3*-<8@*!^5P83&+R]C'-CO+B<@S&LM1LNZ1\'*+#'C7BV[>)15L`1+QIG@:PN0=CLY8 MEZOCT2'1;`:'L+L?J0_6UP\+P\U"D'0/+"6=#:Q)EQR3>8CO5&`H08WEG8+?G?G@Y;)\?2>5V_((.!NI38H`Y$Z!!\8MUP#G65JD3=XVI1 M!_^:?<$=8`6HB,F6XJMU-<;;C,7D@EN9NKJ6^*Y3!Q;4/(#JJEWL*#D`J:X> M=ZK;7OD&AD%30?.KJ6(4B+&;=B'`@:"',MA'6Y'&;.SKA8I!/%];[#F;&D@7=.IW7M^X@ MQ!L,$RKPR(3)NW-=(4M=][-BUQWBBEUE`'@=<$U>YULST=WK3FROJU4>OV[- ()]2C:!'Y0`#) ` end --UAA14923.840513073/coral.llnl.gov-- --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Tue Aug 20 12:58:56 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id MAA02824 for hpff-doc-out; Tue, 20 Aug 1996 12:58:56 -0500 (CDT) Received: from [128.42.1.213] (morpheus.cs.rice.edu [128.42.1.213]) by cs.rice.edu (8.7.1/8.7.1) with SMTP id MAA02748; Tue, 20 Aug 1996 12:57:55 -0500 (CDT) X-Sender: chk@titan.cs.rice.edu Message-Id: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Tue, 20 Aug 1996 13:01:06 -0500 To: hpff-doc, hpff-core From: chk@cs.rice.edu (Chuck Koelbel) Subject: hpff-doc: Re: Next Draft HPF2 document Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- OK, the Rice problems seem to be ameliorating. (Except for demands on Chuck's time, which are getting worse...) Anyway, there is a new, improved distribution of the HPF 2.0 document. You can pick it up at ftp://titan.cs.rice.edu/public/HPFF/hpf2.0-draft/ If you want one (or a few) TeX files, they are in that directory If you want the whole enchilada, go from there to Releases/20-aug-96.tar.gz for a gzipped tar file Two minor changes from Mary's version: * I fixed the \ith problem (a missing macro in syntax-macs.tex), so there should be no TeX errors. Lots of warnings, though! * I added skeletal instructions for running latex to the README file. Happy proofreading... Chuck At 10:29 08/20/96, owner-hpff-doc wrote: >Hmmm - there seem to be a collection of minor computer problems >both here, at Rice, and in my typing conspiring to keep this document >from going out. > >Following find the current version of the HPF2 document ... it is >uuencoded, compressed, tar file. When you decode it, I messed up >the uuencode line and it comes out as uu817 rather than an >appropriately named .Z file so you will have to rename to uncompress. > >Find a README in the file for the current status. We will cut a new >version right after labor day. > >PLEASE all "readers" - make a careful effort to look over the chapter >you signed up for. If it is good shape, then look for "little details" - >if it is still pretty much in draft stage, you might volunteer some > >... --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Tue Aug 20 13:20:20 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id MAA02824 for hpff-doc-out; Tue, 20 Aug 1996 12:58:56 -0500 (CDT) Received: from [128.42.1.213] (morpheus.cs.rice.edu [128.42.1.213]) by cs.rice.edu (8.7.1/8.7.1) with SMTP id MAA02748; Tue, 20 Aug 1996 12:57:55 -0500 (CDT) X-Sender: chk@titan.cs.rice.edu Message-Id: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Tue, 20 Aug 1996 13:01:06 -0500 To: hpff-doc, hpff-core From: chk@cs.rice.edu (Chuck Koelbel) Subject: hpff-doc: Re: Next Draft HPF2 document Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- OK, the Rice problems seem to be ameliorating. (Except for demands on Chuck's time, which are getting worse...) Anyway, there is a new, improved distribution of the HPF 2.0 document. You can pick it up at ftp://titan.cs.rice.edu/public/HPFF/hpf2.0-draft/ If you want one (or a few) TeX files, they are in that directory If you want the whole enchilada, go from there to Releases/20-aug-96.tar.gz for a gzipped tar file Two minor changes from Mary's version: * I fixed the \ith problem (a missing macro in syntax-macs.tex), so there should be no TeX errors. Lots of warnings, though! * I added skeletal instructions for running latex to the README file. Happy proofreading... Chuck At 10:29 08/20/96, owner-hpff-doc wrote: >Hmmm - there seem to be a collection of minor computer problems >both here, at Rice, and in my typing conspiring to keep this document >from going out. > >Following find the current version of the HPF2 document ... it is >uuencoded, compressed, tar file. When you decode it, I messed up >the uuencode line and it comes out as uu817 rather than an >appropriately named .Z file so you will have to rename to uncompress. > >Find a README in the file for the current status. We will cut a new >version right after labor day. > >PLEASE all "readers" - make a careful effort to look over the chapter >you signed up for. If it is good shape, then look for "little details" - >if it is still pretty much in draft stage, you might volunteer some > >... --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 29 07:33:22 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id HAA02997 for hpff-doc-out; Thu, 29 Aug 1996 07:33:22 -0500 (CDT) Received: from relay-4.mail.demon.net (relay-4.mail.demon.net [158.152.1.108]) by cs.rice.edu (8.7.1/8.7.1) with SMTP id HAA02991 for ; Thu, 29 Aug 1996 07:33:14 -0500 (CDT) Received: from post.demon.co.uk ([(null)]) by relay-4.mail.demon.net id bb00849; 29 Aug 96 12:17 GMT Received: from nasoftwr.demon.co.uk ([158.152.18.126]) by relay-3.mail.demon.net id aa21584; 29 Aug 96 13:15 +0100 Received: from ferrari.nasoftware by nasoftwr.demon.co.uk id LAA14005; Thu, 29 Aug 1996 11:59:17 +0100 From: Mike Delves Received: by ferrari.nasoftware id AA07820; Thu, 29 Aug 96 11:57:47 BST Local-From: delves@ferrari (Mike Delves) Message-Id: <9608291057.AA07820@ferrari.nasoftware> Subject: hpff-doc: Comments on Library To: Rob Schreiber , HPF Documents Date: Thu, 29 Aug 1996 11:57:46 +0100 (BST) Cc: Dave Watson NAS X-Mailer: ELM [version 2.4 PL23] Content-Type: text Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- Dear Dr Schreiber, We have the following comments/queries on the Intrinsic and Library Procedures chapter: 1) It is not clear to us why ILEN is an intrinsic while POPCNT, LEADZ, POPPAR are library functions. All are on the same level. Further, if ILEN is intrinsic it may appear in specification expressions - causing trouble for a "compiler" which actually is a source to source translator to Fortran. 2) For many library routines the "major" argument . Taken literally (as it should be) this includes derived types. a) Is this intended (our guess is not: else many troubles ensue). b) If not, the wording should make this clear: 3) For many other arguments (eg INDX1,.. and MASK of COPY_SCATTER) the type INTEGER or LOGICAL is specified. Our guess is that this is meant to mean and . Is this the intention? If so, the wording should be tightened. My apologies if these comments have been made many times before. Best wishes Mike Delves -- ------------------------------------------------ Mike Delves |Tel: +44 151 709 4738 N.A Software Ltd |Fax: +44 151 709 5645 Roscoe House, 62 Roscoe St |delves@nasoftwr.demon.co.uk Liverpool L1 9DW, UK |http://www.nasoftware.co.uk/home.html --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 29 15:51:19 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id PAA21714 for hpff-doc-out; Thu, 29 Aug 1996 15:51:19 -0500 (CDT) Date: Thu, 29 Aug 1996 15:51:19 -0500 (CDT) Message-Id: <199608292051.PAA21714@cs.rice.edu> From: Jaspal.Subhlok@N2.SP.CS.CMU.EDU Subject: hpff-doc: Task region changes in parallel-ext.tex Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- [I just realized that the task region changes have not propagated to the current draft. I am resending the corresponding chapter with the changes i.e. current text from the ftp site + new TASK_REGION section. We should probably place this on the ftp site and then update it with new ON and RESIDENT sections when they are ready. -- jas] % File: parallel-ext.tex % Contents: % Approved Extensions for data-parallel computation for HPF 2.0 % document, including % ON % TASK % RESIDENT % Revision history: % May-10-96 Created by Charles Koelbel, Rice University % (from HPF 2.0 proposals) % Aug-27-96 Expanded section on task parallelism added % Jaspal Subhlok \chapter{Approved Extensions for Data and Task Parallelism} \label{ch-parallel-ext} {\em Comments on this chpater should be directed to Chuck Koelbel ({\tt chk@cs.rice.edu}), Jaspal Subhlok ({\tt jass@cs.cmu.edu}), and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on Extended Parallelism}'' as the {\tt Subject:} line. \par } There are three major Approved Extensions related to parallel execution: \begin{enumerate} \item The {\tt ON} directive, which partitions computations among the processors of a parallel machine (much as the {\tt DISTRIBUTE} directive partitions the data among the processors). \item The {\tt RESIDENT} directive, which asserts that certain data accesses do not require interprocessor data movement for their implementation. \item The {\tt TASKING} construct, which provides an abstract form of task parallelism in HPF. \end{enumerate} Although they are separate constructs, these features have a strong interaction. {\tt RESIDENT} requires a notion of where an operation is being performed in order to make its assertion; this information is typically supplied by an {\tt ON} directive. Similarly, the {\tt TASKING} feature uses {\tt ON} blocks to identify the parallel tasks. We therefore discuss {\tt ON} in the first section below, and take up {\tt RESIDENT} and {\tt TASKING} in Sections~\ref{sec-resident} and~\ref{sec-tasking}, respectively. \section{The ON Directive} \label{sec-on} The purpose of the {\tt ON} directive is to allow the programmer to control the distribution of computations among the processors of a parallel machine. In a sense, this is the dual of the {\tt DISTRIBUTE} and {\tt ALIGN} directives for data. Modern parallel machines will achieve their best performance if all operations are performed by separate processors (as specified by {\tt ON}) with each processor accessing its local data (as specified by {\tt DISTRIBUTE}). As such, the highest-performing programs will be those for which the computation partitioning and data mapping work in synergy. The definition of the {\tt ON} directive is designed to promote this synergy by referring to the locations of data in order to define the location of computation. \subsection{Syntax of the ON Directive} There are three flavors of the {\tt ON} directive: a single-statement form, a multi-statement form, and a declaration form. The BNF for these directives is \BNF simple-on-directive \IS ON home-expr [ , resident-clause ] [, new-clause ] decl-on-directive \IS ENVIRONMENT :: simple-on-directive block-on-directive \IS simple-on-directive BEGIN on-block \IS block-on-directive block end-directive end-directive \IS END [ BEGIN ] home-expr \IS HOME( variable ) \OR HOME( template-elmt ) \OR ( processors-elmt ) template-elmt \IS template-name [ ( section-subscript-list ) ] processors-elmt \IS processors-name [ ( section-subscript-list ) ] \FNB \begin{constraints} \item Any expressions in the {\it home-expr\/} of a {\it decl-on-directive\/} must be specification expressions. (Expressions in a {\it simple-on-directive} that is not part of a {\it decl-on-directive\/} are not so constrained.) \end{constraints} {\it resident-clause\/} will be defined in Section~\ref{sec-resident}. For the present, it suffices to say that this is a form of the {\tt RESIDENT} directive mentioned in the introduction. {\it home-expr}, {\it template-elmt}, and {\it processors-elmt\/} are just auxiliary syntax categories. Note that {\it variable\/} is a Fortran syntax term that means (roughly) ``a reference, including an array element, array section, or derived type field''; {\it variable\/} doesn't include template or processor elements since those are not first-class language constructs. Note also that {\it block\/} is a Fortran syntax term for ``a series of statements treated as a group'' --- for example, the body of a {\tt DO} construct. {\it simple-on-directive\/} is an option under {\it executable-directive\/} (see rule~\ref{executable-directive-rule}). This means that {\it simple-on-directive\/} can appear where an executable statement can. {\it decl-on-directive\/} is an option under {\it specification-directive\/} (see rule~\ref{specification-directive-rule}), as {\it distribute-directive\/} is now. This means that {\it decl-on-directive\/} can appear where a declaration can. {\it on-block\/} most naturally fits as a Fortran {\it executable-stmt}. This implies that such blocks are properly nested. \begin{rationale} Note the use of parentheses in the last option of the home-expr rule (involving processors-elmt). This prevents the following ambiguity: \CODE INTEGER X(4) ! X(I) will be on processor I !HPF$ PROCESSORS HOME(4) !HPF$ DISTRIBUTE X(BLOCK) X = (/ 4,3,2,1 /) !HPF$ ON HOME(X(2)) X(2) = X(1) \EDOC If the parentheses were not required, where should the computation be done? \begin{enumerate} \item Processor HOME(2) (i.e. the owner of X(2))? \item Processor HOME(3) (i.e. use the value of X(2), before the assignment)? \item Processor HOME(4) (i.e. use the value of X(2), after the assignment)? \end{enumerate} The definition of {\tt ON} clearly indicates interpretation 1 is correct. One can get the effect of interpretation 2 by the directive \CODE !HPF$ ON(HOME(X(2))) \EDOC There is no way to get the effect of interpretation 3, short of building a clairvoyant computer. Introducing reserved keywords into Fortran was suggested as a better solution to this problem, but was seen as too large a change to the underlying language. Separate syntax is needed for simple-on-directive and decl-on-directive to avoid ambiguity. If the same directive can be used as both both an executable statement and a declaration, its role is unclear if it is the last statement in the declarations/first statement in the executable section. This is particularly bad since the "scope" of the directive is rather different in the two uses. \end{rationale} \subsection{Semantics of the ON Directive} The {\tt ON} directive advises the compiler to perform a computation using the processor(s) named in the {\it home-expr}. It has three forms: \begin{itemize} \item {\it simple-on-directive\/} and {\it on-block}, which apply to the next executable statement or a block of executable statements, respectively. \item {\it decl-on-directive}, which is a declaration for an entire scope. \end{itemize} Like the mapping directives {\tt ALIGN} and {\tt DISTRIBUTE}, this is advice rather than an absolute commandment; the compiler may override an {\tt ON} directive. Also like {\tt ALIGN} and {\tt DISTRIBUTE}, the {\tt ON} directive may affect the efficiency of computation, but not the final results. \begin{implementors} If the compiler may override the user's advice in an {\tt ON} directive, then the compiler should also offer the user an option to force all directives to be obeyed. \end{implementors} The single-statement {\tt ON} directive (i.e. {\it simple-on-directive}) precedes the statement for which it is advising behavior, and is said to apply to that statement. If the statement is a compound statement (e.g. a {\tt DO} loop or an {\tt IF}-{\tt THEN}-{\tt ELSE} construct), then the {\tt ON} directive also applies to all nested statements therein. Similarly, the block {\tt ON} directive (i.e. {\it on-block}) applies the initial {\tt ON} clause to all statements up to the matching {\tt END} directive. The declarative form of the {\tt ON} directive (i.e. {\it decl-on-directive}) applies to all statements and declarations in a scope; its intended use is for functions and subroutines that may be called on a subset of the processors. The {\tt HOME} clause can name a program variable, a template, or a processors arrangement. For each of these possibilities, it can further specify a single element or multiple elements. This is translated into the processor executing the computation as follows: \begin{itemize} \item If the {\tt HOME} clause names a program variable (that is, an array element or section), then every processor owning any part of that variable should execute the computation. For example, if a is a distributed array, then \CODE !HPF$ ON HOME ( a(2:4) ) \EDOC tells the compiler to perform the statement on the processors owning {\tt a(2)}, {\tt a(3)}, and {\tt a(4)}. If {\tt a} were distributed {\tt BLOCK}, this might be one processor; if it were distributed {\tt CYCLIC}, it would be three processors (assuming that many processors were available). \item If the {\tt HOME} clause names a template element or section, then every processor owning any element of the template should execute the computation. The example above applies here as well, if {\tt a} is a template rather than an array. \item If the {\tt HOME} clause names a processors arrangement, then the processor(s) referenced there should execute the computation. For example, if {\tt p} is a processors arrangement, then \CODE !HPF$ ON ( p(2:4) ) \EDOC will execute the following statement on the three processors {\tt p(2)}, {\tt p(3)}, and {\tt p(4)}. \end{itemize} For the executable forms of the directive, the values of expressions in the {\it home-expr\/} are determined as if the expression was evaluated when control flow reached the {\tt ON} directive. For the declarative form, the values are determined on entry to the scope. That is, if the value of a variable used in the {\tt HOME} clause changes within an {\it on-block}, work is not migrated to a new processor. If evaluation of an expression in a {\tt HOME} clause would change the value of any variable in the program, then the value of that variable becomes undefined after the {\tt ON} clause is reached. In every case, the {\tt ON} directive specifies the processor(s) which should perform a computation. This means that these processors should execute all operations required to execute the statements {\em except\/} (perhaps) for the initial access of data and writing of results. For example, consider the directive and statement \CODE !HPF$ ON HOME( Z(2) ) X(1) = X(1) + Y(2) * Z(3) \EDOC Assume that {\tt X}, {\tt Y}, and {\tt Z} are distributed in some way. Following the {\tt ON} directive, the statement would be executed as follows: \begin{enumerate} \item The values of {\tt X(1)}, {\tt Y(2)}, and {\tt Z(3)} are made available to the processor owning {\tt Z(2)}. Depending on the hardware running the program, this might correspond to one processor loading registers from memory, or it might mean three processors sending messages (and one processor receiving them). \item Processor {\tt HOME(Z(2))} performs an addition and a multiplication, using the values sent in the last step. That previous data movement allows these operations to be performed locally. \item The result is stored to {\tt X(1)}, which may be on a different processor than {\tt Z(2)}. Again, this may require synchronization or other cross-processor operations. \end{enumerate} There are considerable subtleties of this scheme when one of the statements involved is a function or subroutine call. Section~\ref{sub-on-subr} deals with these cases. Note that the {\tt HOME} clause only specifies how computation is partitioned among processors; it does not indicate processors that may be involved in data transfer. Also, the {\tt ON} clause by itself does not guarantee that its body can be executed in parallel with any other operation. However, placing the computation can have a significant effect on data locality. As later examples will show, the combination of {\tt ON} and {\tt INDEPENDENT} can also provide control over load balancing parallel computations. \begin{rationale} This is the heart of the {\tt ON} clause. It defines where computation is performed, but not (by itself) what data are accessed. The ``as if'' wording and making side effects undefined avoids the following problem: {\tt ON} is a directive. Therefore, it cannot have side effects. But implementing the {\tt ON} clause may require evaluating some functions, thereby causing the side effects. Moreover, different systems may use different implementation mechanisms. Such dependences on the implementation mechanism are outlawed by making their effect undefined. \end{rationale} \begin{implementors} If the HPF program is compiled into Single-Program-Multiple-Data (SPMD) code, then the {\tt ON} clause can always be implemented (albeit inefficiently) by having all processors compare their processor id to an id (or list of ids) generated from the {\tt HOME} clause. (Similar naive implementations can be constructed in other paradigms as well.) If the {\tt ON} clause will be executed repeatedly, for example in a {\tt DO} loop, it is probably worthwhile to invert this process. That is, instead of all processors executing all the {\tt HOME} clause tests, the compiler should determine the range of loop iterations that will test true on the local processor. (See the ``Advice to implementors'' in Section~\ref{sub-on-examples} for more details.) For example, consider the following complex case: \CODE DO I = 1, N !HPF$ ON HOME( A(MY_FCN(I)) ) BEGIN ... !HPF$ END BEGIN END DO \EDOC Here, the generated code can perform an ``inspector'' (i.e. a skeleton loop that only evaluates the {\tt HOME} clause of each iteration) to produce a list of iterations assigned to each processor. This list can be produced in parallel, since {\tt MY\_FCN} must be side-effect free (at least, the programmer cannot rely on any side effects). However, distributing the {\it home-expr} computation to all processors may require unstructured communications patterns, possibly negating the advantage of parallelism. In general, more advanced compilers will be able to efficiently invert more complex {\tt HOME} clauses. It is recommended that the abilities (and limitations) of a particular compiler be documented clearly for users. Note that processors "screened out" by the naive implementation may still be required to participate in data transfer. If the underlying architecture allows one-sided communication (e.g. shared memory or {\tt GET}/{\tt PUT}), this is not a problem. On message-passing machines, a request-reply protocol may be used. This requires the inactive processors to enter a wait loop until the {\tt ON} block completes, or requires the runtime system to handle requests asynchronously. Again, it is recommended that the documentation tell programmers which cases are likely to be efficient and which inefficient on a particular system. \end{implementors} \begin{users} The form of the {\it home-expr\/} in an {\tt ON} directive can be arbitrarily complex. This is a two-edged sword; it can express very complicated computation partitioning, but the implementation of these partitions may not be efficient. More concretely, it may express a perfectly load-balanced computation, but force the compiler to serialize the computation to implement the {\tt HOME} clauses. Although the amount of overhead for an {\tt ON} clause will vary based on the HPF code, the compiler, and the hardware, one can expect that compilers will generate very good code based solely on array mappings or a named processor arrangement, and progressively worse code as the complexity of the {\it home-expr\/} increases. A rough measure of the complexity of an {\tt ON} directive is the amount of run-time data used to compute it; for example, a constant offset is fairly simple, while a permutation array is very complex. See Section~\ref{sub-on-examples} below for more concrete examples of this phenomenon. It is worth noting that the {\tt ON} clause alone does not address data movement. (The {\tt RESIDENT} directive defined in Section~\ref{sec-resident} does this.) Therefore, on some machines additional processors will have to enter the {\tt ON} block to take part in communication. It should also be noted that the {\tt ON} clause does not change the semantics of a program, in the same sense that {\tt DISTRIBUTE} does not change semantics. In particular, an {\tt ON} clause {\em by itself\/} does not change sequential code into parallel code, because the code in the {\tt ON} block can still interact with code outside the {\tt ON} block. (To put it another way, {\tt ON} does not spawn processes.) \end{users} It is legal to nest {\tt ON} directives, if the set processors named by the inner {\tt ON} directive is included in the set of processors named by the outer directive. The syntax of {\it on-block\/} automatically ensures that it is properly nested inside other compound statements, and that compound statements properly nest inside of it. As with other Fortran compound statements, transfer of control to the interior of an {\it on-block\/} from outside the block is prohibited, while transfers within a block may occur. However, HPF {\em also\/} prohibits transfers of control from the interior of an {\it on-block\/} to outside the {\it on-block}. Note that this is stricter than in ordinary Fortran. If {\tt ON} clauses are nested, then the innermost {\it home-expr\/} effectively controls execution of the statement(s). A programmer can think of this as successively restricting the set of processors at each level of {\tt ON} nesting; clearly, the last restriction must be the strongest. Alternately, the programmer can think of this as a fork-join approach to nested parallelism. \begin{rationale} The restrictions about control flow into and out of an {\tt ON} block essentially make it a single-entry single-exit region, thus simplifying the semantics considerably. \end{rationale} Operations controlled by an {\tt ON} clause must obey certain restrictions: \begin{itemize} \item If an {\tt ON} directive applies to a {\tt DISTRIBUTE} directive whose {\it distributee} is a local variable with neither the {\tt SAVE} nor the {\tt ALLOCATABLE} attribute, then the set of processors named in the {\it home-expr\/} must include \begin{itemize} \item All processors named in the {\it DISTRIBUTE}'s {\tt ONTO} clause if one is present \item All processors in the default processors arrangement otherwise \end{itemize} \item If an {\tt ON} directive applies to a {\tt ALIGN} directive whose {\it alignee\/} is a local variable with neither the {\tt SAVE} nor {\tt ALLOCATABLE} attribute, then the set of processors named in the {\it home-expr\/} must include all processors that store any element of the {\it align-with-clause}. \item If an {\tt ON} directive applies to a {\tt REDISTRIBUTE} directive, then the set of processors named in the {\it home-expr} must include \begin{itemize} \item All processors that stored any element of the {\it distributee\/} before the {\tt REDISTRIBUTE} was encountered \item The processors required by an equivalent {\tt DISTRIBUTE} directive \end{itemize} \item If an {\tt ON} directive applies to a {\tt REALIGN} directive, then the set of processors named in the {\it home-expr\/} must include \begin{itemize} \item All processors that stored any element of the {\it alignee} before the {\tt REALIGN} was encountered \item The processors required by an equivalent {\tt ALIGN} directive \end{itemize} \item If an {\tt ON} directive applies to an {\tt ALLOCATE} statement which creates an explicitly mapped variable, then the set of processors named in the {\it home-expr\/} must include the processors required by the mapping directive for the allocated variable. \item If the {\tt ON} directive applies to a {\tt DEALLOCATE} statement that destroys an explicitly mapped variable, then the {\it home-expr\/} must include all processors that owned any element of that variable. \end{itemize} If operations within an {\tt ON} block do not follow these rules, then the program is not HPF-conforming. {\bf Note to language designers:}\\ An alternative for the DISTRIBUTE would be that an missing {\tt ON}TO clause would mean "distribute on all processors in the nearest enclosing {\tt ON} directive" rather than "distribute on all processors". In some sense, this makes the nested fork-joins more modular (declarations inside a forked region only need to know about the region they are part of). It is especially appropriate now that we have the declarative {\tt ON} directive. I have not investigated the difficulty of writing things this way, but it probably requires fine-tooth combing through the data mapping chapter and inquiry intrinsics.\\ {\bf End of note to language designers.} \begin{rationale} Operations which allocate memory require the cooperation of all processors that will own that memory. Therefore, {\tt ON} clauses must schedule those operations to execute on the cooperating processors. This leads to constraints on the mappings of variables allowed in {\tt ON} clauses. The most common case where these apply is in subroutines called from {\tt ON} clauses; such subroutines must have a declarative {\tt ON} clause that applies to all {\tt DISTRIBUTE} and {\tt ALIGN} directives for local variables, dummy arguments, and global data. An alternate description of these constraints is: \begin{itemize} \item Local variables that are not {\tt SAVE}d can only be mapped to the processors executing the surrounding {\tt ON} clause. This ensures that all local variables are allocated within the {\tt ON} processor set, and that all references to local variables will be {\tt RESIDENT} as defined below. \item Dummy arguments and result variables can only be mapped to the processors executing the {\tt ON} clause. Like local variables, this ensures that all references to dummies and result variables are to local memory. Note that, although the dummy arguments must be {\tt RESIDENT}, the actual argument may not be (due to remapping). \item Global variables may be explicitly mapped onto all processors (or onto any subset of processors that could normally be used). This is required so that the mappings of the globals can be consistent in different scopes. Memory for the global variables will be allocated either at load time, when all processors are active, or in explicit {\tt ALLOCATE} statements, which will be dealt with below. \item Local variables with the {\tt SAVE} attribute can be mapped onto any set of processors. In this sense, they are much like global variables. Like global variables, it is possible to ensure that an appropriate set of processors is active when memory is allocated for them. \item {\tt ALLOCATABLE} variables have their mapping determined when they are allocated. Therefore, the restrictions on those mappings are applied to the {\tt ALLOCATE} statement. \end{itemize} \end{rationale} \begin{implementors} These restrictions ensure that HPF data distribution directives inside an {\tt ON} block (either lexically or in a dynamic call chain) can be implemented without relying on one-way communication outside of the ``current'' processing group. \end{implementors} If an {\tt ON} directive includes a {\tt NEW} clause, the meaning is the same as a {\tt NEW} clause in an {\tt INDEPENDENT} directive. The operation of the program would be identical if the {\tt NEW} variables were allocated anew on every entry to the {\tt ON} directive's scope, and deallocated on exit from the {\tt ON} block. That is, the {\tt NEW} variables are dead on entry (i.e. assigned before use in the {\tt ON} block) and dead on exit (i.e. not used after the {\tt ON} block, unless first reassigned). In addition, {\tt NEW} variables cannot be remapped in the {\tt ON} clause's scope, whether by {\tt REALIGN}, {\tt REDISTRIBUTE}, or by parameter passing to subroutine calls. Finally, {\tt NEW} variables are not considered by any nested {\tt RESIDENT} directives, as detailed in Section~\ref{sec-resident}. \begin{rationale} {\tt NEW} clauses provide a simple way to create temporary variables. This ability is particularly important when {\tt RESIDENT} directives come into play, as will be clear below. \end{rationale} \begin{implementors} Because they are not used outside of the {\tt ON} blocks, {\tt NEW} variables need not be kept consistent before and after {\tt ON} clauses. Therefore, no communication outside of the {\tt ON} processor set is required to implement them. Scalar {\tt NEW} variables should be replicated over the {\tt ON} processor set, or allocated to memory areas shared by the {\tt ON} processor set. Note that memory must be dynamically allocated if there is a possibility that multiple instances of the {\tt ON} block could be active concurrently. This is similar to the requirements for implementing {\tt NEW} variables in {\tt INDEPENDENT} loops. \end{implementors} \subsection{ON Directives Applied to Subprogram Invocations} \label{sub-on-subr} It is legal for an {\tt ON} directive to apply to a {\tt CALL} statement or a statement containing a function invocation. The {\tt ON} directive tells the compiler which processors should execute the statements in the procedure body. Any procedure which is called from a statement controlled by an {\tt ON} directive must have an explicit interface in the caller. Furthermore, the interface must include a valid declarative {\tt ON} directive which applies to the entire called procedure. (I.e. If an {\tt INTERFACE} block is used, then the {\tt INTERFACE} specification must include an {\tt ENVIRONMENT :: ON} clause.) The treatment of {\tt ON} clauses in the interface is similar to that for a compound statement. Any processor named by an {\tt ON} directive inside the subroutine must be included by the {\tt ON} directive in the caller. In particular, the declarative {\tt ON} directive in the interface must name a subset of the processors in the caller's {\tt ON} clause, and any {\tt ON} clauses in the subroutine itself can only restrict the declarative {\tt ON} directive's processor set further. If {\tt ON} clauses appear in a subroutine call chain, then the deepest {\tt ON} clause (i.e. the one in the last called routine that is still active) effectively controls the computation. Note that {\tt EXTRINSIC} procedures always have an explicit interface, and thus will require an {\tt ON} declaration if they are called from an {\tt ON} block. In this case, the effect of the call is still as if the procedure were called on all processors. If the procedure uses alternate return, then the target of the return must be in the same {\tt ON} block as the CALL statement. This implies that labels passed as arguments must refer to statements in the same {\tt ON} block as the {\tt CALL} statement. \begin{rationale} It is natural to treat a procedure call within an {\tt ON} clause as if it were an in-lined program block. This leads to "propagating" the {\tt ON} directive into the procedure. Making the {\tt ON} directive explicit in the callee allows separate compilation (i.e. the compiler need not perform interprocedural analysis in order to select the calling convention). The constraint on alternate return is similar to the prohibition against jumping out of an {\tt ON} block, and has the same justification. \end{rationale} \begin{implementors} Notice that nested {\tt ON} clauses do not present additional problems for the naive implementation. If a processor failed the outer {\it home-expr} comparison, then it would fail any tests inside the {\tt ON} as well. Thus, it need not even make the tests. The difficulties of implementing one-way communication on message-passing machines remain, however. \end{implementors} \begin{users} A {\tt CALL} statement from within an {\tt ON} block effectively executes the subroutine on a subset of processors. In conjunction with other declarations, this allows a fork-join style of parallelism. Note that the earlier advice regarding data movement still applies. Message-passing machines may need to perform the call statement on many (even all) processors in order to properly exchange data between processors. \end{users} Explicit use of processors arrangements in {\tt ON} directives is usually associated with task parallelism. Several examples can be found there. The following example illustrates how processors can be used for a one-dimensional domain decomposition algorithm: \CODE !HPF$ PROCESSORS PROCS(NP) !HPF$ DISTRIBUTE X(BLOCK) ONTO PROCS ! Compute ILO(IP) = lower bound on PROCS(IP) ! Compute IHI(IP) = upper bound on PROCS(IP) DONE = .FALSE. DO WHILE (.NOT. DONE) !HPF$ INDEPENDENT DO IP = 1, NP !HPF$ ON (PROCS(IP)) CALL SOLVE_SUBDOMAIN( IP, X(ILO(IP):IHI(IP)) ) END DO !HPF$ ON HOME(X) BEGIN CALL SOLVE_BOUNDARIES( X, ILO(1:NP), IHI(1:NP) ) DONE = CONVERGENCE_TEST( X, ILO(1:NP), IHI(1:NP) ) !HPF$ END BEGIN END DO \EDOC The algorithm divides the entire computational domain (array {\tt X}) into {\tt NP} subdomains, one for each processor. The {\tt INDEPENDENT} {\tt IP} loop performs a computation on each subdomain's interior. The {\tt ON} directive tells the compiler which processors to use in executing these (conceptually) parallel operations. This can increase data locality substantially, particularly if the computiler could not otherwise analyze the data access patterns in {\tt SOLVE\_SUBDOMAIN}. The subroutine {\tt SOLVE\_SUBDOMAIN} can use a transcriptive or descriptive mapping for its array argument, placing it on a single processor. In the next phase, the processors collaborate to update the boundaries of the subdomains and test for convergence. Subroutines {\tt SOLVE\_BOUNDARIES} and {\tt CONVERGENCE\_TEST} may well have their own loops similar to the {\tt IP} loop, with similar {\tt RESIDENT} clauses. Note that only the lower and upper bounds of each subdomain is recorded; this allows different processors to process different-sized subdomains. However, each subdomain must ``fit'' into one processor's section of the {\tt X} array. \begin{implementors} The {\tt IP} loop above is likely to be a common idiom among programmers doing block-structured codes. In general, it can be implemented by inverting the {\tt HOME} clause as was done above. In the one-to-one case shown here (probably very popular with programmers), it can be implemented by assigning the processor id to the loop index variable and testing the range of the loop (once). \end{implementors} \begin{rationale} Some compilers will propogate the {\tt ON} information from the caller to the callee at compile time, and some at run time. Repeating the {\tt ON} clause in the caller and callee will tend to give the compiler better information, resulting in better generated code. \end{rationale} \subsection{Examples of ON Directives} \label{sub-on-exapmles} The following are valid examples of {\tt ON} directives. Most of them are ``reasonable'' in the sense that they illustrate idioms that programmers might want to use, rather than contrived situations. For simplicity, the first several examples assume the following array declarations: \CODE REAL A(N), B(N), C(N), D(N) !HPF$ DISTRIBUTE A(BLOCK), B(BLOCK), C(BLOCK), D(BLOCK) \EDOC One of the most commonly requested capabilities for HPF as to control how loop iterations were assigned to processors. (Historically, the {\tt ON} clause first appeared to perform exactly this role in the Kali FORALL construct.) This can be done by the {\tt ON} directive, as shown in the following examples: \CODE !HPF$ INDEPENDENT DO I = 2, N-1 !HPF$ ON HOME(A(I)) A(I) = (B(I) + B(I-1) + B(I+1))/3 END DO !HPF$ INDEPENDENT DO J = 2, N-1 !HPF$ ON HOME(A(J+1)) BEGIN A(J) = B(J+1) + C(J+1) + D(J+1) !HPF$ END BEGIN END DO \EDOC The {\tt ON} directive in the {\tt I} loop advises the compiler to have each processor run over its local section of the {\tt A} array (and therefore {\tt B} as well). The references to {\tt B(I-1)} and {\tt B(I+1)} must be fetched from off-processor for the first and last iterations on each processor (except for the boundary processors); note that those processors are not mentioned in the {\tt HOME} clause. The {\tt ON} directive in the {\tt J} loop advises the compiler to ``shift'' computations so that each processor does a vector sum of its local sections of {\tt B}, {\tt C}, and {\tt D}, stores the first element of the result on the processor to its left, and stores the rest of the result (shifted by one) in {\tt A}. It is worth noting that the directives would still be valid (and minimize nonlocal data accesses) if the arrays were distributed {\tt CYCLIC}, although the number of nonlocal references would be much higher. \begin{implementors} It is highly recommended that compilers concentrate on optimizing DO loops with a single {\tt ON} clause including the entire loop body. Schematically, the code will be: \ICODE DO i = lb, ub, stride !HPF$ ON HOME(array(f(i))) BEGIN body !HPF$ END BEGIN END DO \EDOC Where array has some data mapping. Assume the mapping give processor p the elements my_set(p). (In a BLOCK distribution, for example, my_set(p) is a contiguous range of integers.) Then the generated code on processor p should be \ICODE DO i in [lb:ub:stride] intersect finverse(my_set(p)) body END DO \EDOC (This schematic does not show where communication or synchronization must be placed; that must be derived from analysis of the body.) Moreover, $f$ is likely to be the identity function or a linear function with integer coefficients, both of which can be inverted easily. Given this, techniques for iterating through the set can be found in several recent conferences. \end{implementors} \begin{users} One can expect the {\tt I} loop above to generate efficient code for the computation partitioning. In effect, the compiler will arrange for each processor to iterate over its own section of array {\tt A}. The {\tt J} loop is slightly more complex, since the compiler must find the inverse of the {\tt HOME} clause's subscripting function. That is, the compiler must solve {\tt K=J+1} for {\tt J}, where {\tt K} ranges over the local elements of {\tt A}. Of course, in this case {\tt J=K-1}; in general, linear functions can be inverted by the compiler. (It should be pointed out, however, that complex combinations of {\tt ALIGN} and {\tt DISTRIBUTE} may make the description of {\tt K} unwieldy, and this may add overhead to the inversion process.) \end{users} Sometimes it is advantageous to "split" an iteration between processors. The following case shows one example of this: \CODE !HPF$ INDEPENDENT DO I = 2, N-1 !HPF$ ON HOME(A(I)) A(I) = (B(I) + B(I-1) + B(I+1))/3 !HPF$ ON HOME C(I+1) C(I+1) = A(I) * D(I+1) END DO \EDOC Due to the first {\tt ON} clause, the reference to {\tt A(I)} is local in the first statement. The second {\tt ON} clause makes {\tt A(I)} nonlocal (for some values of {\tt I}) there. This maximizes the data locality in both statements, but does require data movement between the two. \begin{implementors} If there are several non-nested {\tt ON} clauses in a loop, then the schematic above needs to be generalized. In essence, the iteration range for each individual {\tt ON} clause must be generated. A processor will then iterate over the union of these ranges. Statements guarded by an {\tt ON} directive must now be guarded by an explicit test. In summary, the code for \ICODE DO i = lb, ub, stride !HPF$ ON HOME(array_1(f_1(i))) stmt_1 !HPF$ ON HOME(array_2(f_2(i))) stmt_2 END DO \EDOC on processor $p$ becomes \ICODE set_1 = [lb:ub:stride] intersect f_1inverse(myset_1(p)) set_2 = [lb:ub:stride] intersect f_2inverse(myset_2(p)) DO i in set_1 union set_2 IF (i in set_1) THEN stmt1 END IF IF (i in set_2) THEN stmt2 END IF END DO \EDOC where $myset_1(p)$ is the local set for $array_1$, and $myset_2(p)$ is the local set for $array_2$. (Again, synchronization and communication must be handled by other means.) Code transformations such as loop distribution and loop peeling can be used to eliminate the tests in many cases. They will be particularly profitable if there are data dependences between the {\tt ON} blocks. \end{implementors} \begin{users} Splitting an iteration like this is likely to require either additional tests at runtime or additional analysis by the compiler. Even if the compiler can generate low-overhead scheduling for the individual {\tt ON} clauses, combining them is not necessarily low-overhead. The locality benefits must be rather substantial for this to pay off, but there are cases where multiple {\tt ON} clauses are valuable. (All these statements are particularly true if one {\tt ON} block uses data computed in another one.) \end{users} Because {\tt ON} clauses nest naturally, they can be useful for expressing parallelism along different dimensions. Consider the following examples: \CODE REAL X(M,M) !HPF$ DISTRIBUTE X(BLOCK,BLOCK) !HPF$ INDEPENDENT, NEW(I) DO J = 1, M !HPF$ ON HOME(X(:,J)) BEGIN DO I = 2, M !HPF$ ON HOME(X(I,J)) X(I,J) = (X(I-1,J) + X(I,J)) / 2 END DO !HPF$ END BEGIN END DO \EDOC Each iteration of the {\tt J} loop is executed by a column of the processors arrangement. The {\tt I} loop further subdivides the computation, giving each processor responsibility for computing the elements it owns. Many compilers would have chosen this computation partitioning automatically for such a simple example. However, the compiler might have attempted to fully parallelize the outer loop, executing each inner loop sequentially on one processor. (This might be attractive on a machine with very fast communications.) By inserting the {\tt ON} clauses, the user has advised against this strategy, thus trading additional locality for restricted parallelism. Notice that the {\tt ON} directive neither requires nor implies the {\tt INDEPENDENT} assertion. In both nests, each iteration of the {\tt I} loop depends on the preceeding iteration, but the {\tt ON} directive can still partition the computation among processors. The {\tt ON} directive does not automatically make a loop parallel. \begin{implementors} ``Dimension-based'' nesting, as above, will probably be a common case. The {\tt HOME} clauses can be inverted at each level, treating indices from outer loops as run-time invariants. \end{implementors} \begin{users} Nested {\tt ON} directives will tend to have efficient implementations if their {\tt HOME} clauses refer to different dimensions of the processors arrangements, as in the above example. This minimizes the interaction between the levels of the loops, simplifying the implementation. \end{users} Consider the following variation on the above example: \CODE !HPF$ DISTRIBUTE Y(BLOCK,*) !HPF$ INDEPENDENT, NEW(I) DO J = 1, M !HPF$ ON HOME(Y(:,J)) BEGIN DO I = 2, M !HPF$ ON HOME(Y(I,J)) Y(I,J) = (Y(I-1,J) + Y(I,J)) / 2 END DO !HPF$ END ON END DO \EDOC Note that the {\tt ON} clauses have not changed, except for the name of the array. The interpretation is similar to the above, except that the outer {\tt ON} directive assigns each iteration of the {\tt J} loop to all of the processors. The inner {\tt ON} directive again implements a simple owner-computes rule. The programmer has directed the compiler to distribute a serial computation across all the processors. There are a few scenarios where this is more efficient than parallelizing the outer loop: \begin{enumerate} \item Parallelizing the outer loop will generate many non-local references, since only a part of each column is on any processor. If non-local references are very expensive (or if {\tt M} is relatively small), this overhead may outweigh any gain from parallel execution. \item The compiler may take advantage of the {\tt INDEPENDENT} directive to avoid inserting any synchronization. This allows a natural pipelined execution. A processor will execute its part of the {\tt I} loop for one value of {\tt J}, then immediately go on to the next {\tt J} iteration. Thus, the first processor will start on {\tt J=2} while the second receives the data it needs (from processor one) for {\tt J=1}. (A similar pipeline would develop in the {\tt X} example above.) \end{enumerate} Clearly, the suitability of these {\tt ON} clauses will depend on the underlying parallel architecture. \begin{users} This example points out how {\tt ON} may improve software engineering. While the ``value'' of {\tt HOME(X(I))} will change if {\tt X}'s mapping changes, its intent will usually stay the same - run the loop ``aligned with'' the array {\tt X}. Moreover, the form of the clauses is portable, and they simplify experimenting with alternative computation partitioning. Both qualities are similar to the advantages of {\tt DISTRIBUTE} and {\tt ALIGN} over low-level data layout mechanisms. \end{users} {\tt ON} directives are particularly useful when the compiler cannot accurately estimate data locality, for example when the computation uses indirection arrays. Consider three variations of the same loop: \CODE REAL X(N), Y(N) INTEGER IX1(M), IX2(M) !HPF$ DISTRIBUTE X(BLOCK), Y(BLOCK) !HPF$ DISTRIBUTE IX(BLOCK), IY(BLOCK) !HPF$ INDEPENDENT DO I = 1, N !HPF$ ON HOME( X(I) ) X(I) = Y(IX(I)) - Y(IY(I)) END DO !HPF$ INDEPENDENT DO J = 1, N !HPF$ ON HOME( IX(J) ) X(J) = Y(IX(J)) - Y(IY(J)) END DO !HPF$ INDEPENDENT DO K = 1, N !HPF$ ON HOME( X(IX(K)) ) X(K) = Y(IX(K)) - Y(IY(K)) END DO \EDOC In the {\tt I} loop, each processor runs over its section of the {\tt X} array. Only the reference {\tt X(I)} is guaranteed to be local. (If \(M \neq N\), then {\tt IX} and {\tt IY} have a different block size than {\tt X}, and thus a different mapping.) However, if it is {\em usually\/} the case that {\tt X(I)}, {\tt Y(IX(I))}, and {\tt Y(IY(I))} are located on the same processor, then this mapping may be the best one available. If {\tt X(I)} and {\tt Y(IX(I))} are {\em always} on the same processor, then the {\tt RESIDENT} clause should be added as explained in Section~\ref{sec-resident} \CODE !HPF$ ON HOME( X(I) ), RESIDENT( Y(IX(I)) ) \EDOC This will avoid communication setup overhead on most systems, and there is little chance that the compiler would deduce this automatically. If both references to {\tt Y} are {\em always} on the same processor as {\tt X(I)}, then further improvement is possible and desirable, as explained in Section~\ref{sec-resident} In the {\tt J} loop, references {\tt IX(J)} and {\tt IY(J)} are always local. This is the most common array reference class in the loop, so it minimizes the number of nonlocal data references in the absence of any special properties of {\tt IX} and {\tt IY}. It may not evenly balance the load among processors; for example, if {\tt N=M/2} then half the processors will be idle. As before, if the values in {\tt IX} or {\tt IY} ensure that one of the {\tt Y} references is always local, a {\tt RESIDENT} assertion should be added. In the {\tt K} loop, only reference {\tt Y(IX(K))} is guaranteed to be local (because {\tt Y} and {\tt X} have the same distribution). However, the values stored in {\tt IX} and {\tt IY} may ensure that {\tt Y(IY(K))} and {\tt X(K)} always local. Even if the three {\tt REAL} values are not always, but merely ``usually'' on the same processor, this may be a good computation partitioning for both locality and parallelism. However, these advantages must be weighed against the cost of computing this partitioning. Since the {\tt HOME} clause depends on a (presumably large) array of runtime values, substantial time may be required to determine which iterations are assigned to each processor. It should be clear from this discussion that there is no magic solution for handling complex computation partitionings; the best answer is usually a combination of application knowledge, careful data structure design (including ordering of the elements), and efficient compilation methodology and runtime support. \begin{implementors} The {\tt K} loop is the situation that the inspector strategy described above is designed for. If there is an outer loop around any of these examples, and that loop does not modify the distribution of {\tt X} or the values of {\tt IX}, then a record of each processor's iterations can be saved for reuse. The cost is at worst linear in the sizes of the arrays. \end{implementors} \begin{users} It is unlikely that any current production compiler will generate low-overhead code for {\tt K} loop. The difference from previous examples is that the {\tt HOME} clause is not a function that can be easily inverted by the compiler. Some compilers may choose to execute every iteration on all processors, testing the {\tt HOME} clause at run-time; others may pre-compute a list of iterations for every processor. Of course, the cost of computing the list will be substantial. In practice, one would make all the arrays the same size to avoid some of the alignment problems above; the example was written this way for pedagogical reasons, not as an example of good data structure design. \end{users} \section{The RESIDENT Directive} \label{sec-resident} The purpose of the {\tt RESIDENT} clause is to work together with the ON directive to identify data accessed by the computation as local to the executing processor. The compiler can use this information to avoid generating communication or to simplify array address calculations. Note that whether a given data element is local depends on two facts: \begin{itemize} \item Where the data is stored (i.e. {\tt DISTRIBUTE} and {\tt ALIGN} attributes for the variable) \item Where the computation is executed (i.e. its {\tt ON} directive) \end{itemize} For these reasons, the {\tt RESIDENT} clause is added to the {\tt ON} directive, which is usually the earliest point in the program where the needed facts might be available. The {\tt RESIDENT} clause can also appear as a stand-alone directive; this is useful when the locality information is not true for an entire {\tt ON} region. Note that changing the {\tt ON} directive may invalidate some {\tt RESIDENT} clauses, or may make some new {\tt RESIDENT} clauses true. \BNF resident-clause \IS RESIDENT [ ( local-var-list ] ) ] simple-resident-directive \IS resident-clause block-resident-directive \IS resident-clause BEGIN resident-block \IS block-resident-directive block end-directive local-var \IS variable \FNB As for {\it simple-on-directive\/}, {\it simple-resident-directive} will be an option under {\em executable-directive} Similarly, {\it resident-block\/} fits as an Fortran {\it executable-stmt}. Any top-level variables in the {\tt RESIDENT} clause must be explicitly mapped. Otherwise, the assertion (see below) is a statement about how the compiler works, not about the program. {\it On-block} fits most naturally as a Fortran {\it executable-stmt}, since that makes constraints about ``properly nesting'' easier to state. \begin{implementors} {\tt RESIDENT} removes need for masked processors to participate in communication into/out of and ON clause. \end{implementors} The {\tt RESIDENT} directive is an assertion to the compiler that certain array references made within the {\tt ON} are stored in local memory if the computation is performed by the processor(s) named in nearest enclosing {\tt ON} directive. The scope of the assertion is the next Fortran statement if the {\it simple-resident-directive\/} form is used and the enclosed {\it block} of code if the {\it resident-block\/} form is used. If {\tt RESIDENT} appears as a clause in an {\tt ON} directive, then the {\tt ON} and {\tt RESIDENT} apply to the same statements. In this case, the {\tt RESIDENT} assertion refers to the {\tt ON} directive in which it appears. {\tt RESIDENT(}{\it var}{\tt )} means the {\em lexical expression} {\it var}, when encountered in the execution of statements in the scope of the {\tt RESIDENT} directive, accesses only data local to the set of executing processors. (That is, the set of processors named by the {\tt ON} directive, henceforth referred to as the {\tt ON} processors set.) If {\it var\/} is accessed by the statement (e.g. it appears on the right-hand side of an assignment statement, or in the evaluation of a conditional expression), then at least one copy of the variable and any subobject of the variable must be mapped to the {\tt ON} processors set. If {\it var\/} is assigned to by the statement (e.g. it appears on the left hand side of an assignment statement, or in the variable list of a {\tt READ} statement), then all copies of the variable and all subobjects of the variable must reside in the {\tt ON} processors set. Note that {\tt RESIDENT} is always an assertion relative to the surrounding {\tt ON} directive. Therefore, if the compiler does not implement the {\tt ON} directive then it must be careful in interpreting {\tt RESIDENT}. Similarly, if the compiler overrules the programmer-specified {\tt ALIGN} and {\tt DISTRIBUTE} directives, the {\tt RESIDENT} clause may give less information. Finally, {\tt NEW} variables are not considered by any nested {\tt RESIDENT} directives, as detailed below. \begin{rationale} The different treatment of variable reads and writes is due to the implementation requirements. If a variable's value is read (but not written), then it can be taken from any consistent copy. Therefore, {\tt RESIDENT} only asserts that one of those copies is available. Conversely, all copies of a replicated variable must be consistent, so {\tt RESIDENT} asserts that all copies are available it it is updated. The {\tt RESIDENT} assertion is always relative to the declared data mappings and {\tt ON} clauses because both pieces of information are necessary to determine the locality of data references. Data mapping determines where the data is stored, while {\tt ON} clauses determines where they are used; in essence they determine the endpoints of a data path. {\tt RESIDENT} itself says that the path length is very short; obviously, one cannot measure a path without knowing both endpoints. \end{rationale} For example, consider the following: \CODE !HPF$ ON HOME(Z(I)), RESIDENT(X,Y,RECORD(I)) X(I) = Y(I+1) + RECORD(I)%FIELD1 + RECORD(I+1)%FIELD2 \EDOC The following facts are asserted by the directive: \begin{itemize} \item {\tt Z(I)} would be local if it appeared, due to its use in the HOME directive. \item All copies of {\tt X(I)} are stored on the same processor as {\tt Z(I)}, due to the {\tt RESIDENT} clause. This may be true because {\tt X} and {\tt Z} have the same mapping, or because {\tt Z} is replicated on all processors, or because the single copy of {\tt X(I)} is the only element of {\tt X} mapped to the same processor as the single copy of {\tt Z(I)}. (Other situations are also possible.) \item At least one copy of {\tt Y(I+1)} is on the same processor as {\tt Z(I)}, due to the {\tt RESIDENT} clause. This may be true because {\tt Y} is replicated on all processors, because {\tt Z(I)} and {\tt Y(I+1)} are the only elements of their arrays that are mapped to the same processor, or because the directive \CODE !HPF$ ALIGN Y(J) WITH Z(J-1) \EDOC appears elsewhere in the program. (Other situations also make the {\tt RESIDENT} assertion true.) \item At least one copy of all subobjects of {\tt RECORD(I)} is mapped on the same processor as {\tt Z(I)}. In particular, the reference {\tt RECORD(I)\%FIELD1} (i.e. a subobject consisting of one component) can be accessed locally. The situations in which this is true are similar to those for {\tt X(I)}. No information is available in this example regarding {\tt RECORD(I+1)\%FIELD2}. \end{itemize} If there is no {\it local-var-list}, then {\em all\/} references to {\em all} variables referenced during execution of the {\tt RESIDENT} directive's body except those declared {\tt NEW} in a surrounding {\tt ON} directive are local in the sense described above. That is, for every usage of any variable's value, at least one copy of the variable will be mapped to the {\tt ON} processor set. Likewise, for every operation that assigns to a variable, all copies of that variable are mapped to the {\tt ON} processor set. References and assignments to {\tt NEW} variables are always considered local. If there are no function or subroutine invocations, this is syntactic sugar for listing all variable references within the directive's scope. (See Section~\ref{sub-res-subr} for a discussion of {tt RESIDENT} caluses applied to subprogram calls.) It might well have been named the {\tt ALL\_RESIDENT} clause; the present form, however, does not add yet another keyword to the directive sublanguage. Note that if the {\tt HOME} clause specifies more than one processor, then {\tt RESIDENT} only asserts that the variables are stored on one of the processors. For example, if a statement is executed on a section of the processors arrangement, then communication within that section may be needed for some variables in the {\tt RESIDENT} clause. Communication with processors outside of the section will not be needed for those variables, however. \begin{rationale} The alternative to this interpretation would be that any variable named in the {\tt RESIDENT} clause would be local to all processors, i.e. replicated. While that certainly allows more extensive optimizations, it is a less common case. In addition, it does not seem to capture the intent of {\tt ON} directives applied to {\tt CALL} statements or compound statements. For example, \CODE !HPF$ PROCESSORS PROCS(MP,MP) !HPF$ DISTRIBUTE X(BLOCK,BLOCK) {\tt ON}TO PROCS !HPF$ ON HOME(PROCS(1,1:MP)), RESIDENT( X(K,1:N) ) CALL FOO( X(K,1:N) ) \EDOC would presumably call {\tt FOO} on a row of the processors arrangement, passing elements of {\tt X} in place. This is what the current definition does; if {\tt RESIDENT} meant ``resident on every processor'', the call would force {\tt X} to be replicated. \end{rationale} The {\tt RESIDENT} directive is similar to the {\tt INDEPENDENT} directive, in that if it is correct it does not change the meaning of the program. If the {\tt RESIDENT} clause is incorrect, the program is not standard-conforming (and is thus undefined). Like the {\tt INDEPENDENT} directive, the compiler may use the information in the {\tt RESIDENT} clause, or ignore it if it is insufficient for the compiler's purposes. If the compiler can detect that the {\tt RESIDENT} clause is incorrect (i.e. that a {\tt RESIDENT} variable is definitely nonlocal), it is justified in producing a warning. Unlike the {\tt INDEPENDENT} directive, however, the truth of the {\tt RESIDENT} clause depends on the mapping of computations (specified with the {\tt ON} clause) and the mapping of data (specified with {\tt DISTRIBUTE} and {\tt ALIGN} clauses); if the compiler overrides either of these, then it may not be able to use information in the {\tt RESIDENT} directive. \begin{rationale} Knowing that a reference is local is valuable information for the optimizer. It is in keeping with the spirit of HPF to phrase this as an assertion of fact, which the compiler can use as it pleases. Expressing it as advice to the compiler seems to have disadvantages. Some possible ways this advice could be phrased, and the counter-arguments, are \begin{itemize} \item ``Don't generate communication for this reference'' has great potential for changing the meaning of the program. Some programmers want this capability, but it violates the ``correct directives should not change the meaning of a program'' principle of HPF. Also, once communication is ``turned off'' for a reference, it's not clear how to turn it back on. \item ``Generate communication for this reference'' is not a useful directive, since the compiler has to do this anyway. \item ``Generate communication for this reference, and place it here'' is useful, since it can override the default placement by the compiler. It still has potential for changing program meaning. It also has the potential to create programs as complex as message-passing, as programmers try to move communication out of loops. \end{itemize} \end{rationale} \subsection{RESIDENT Directives Applied to Subprogram Invocations} \label{sub-res-subr} If a {\tt RESIDENT} directive applies to a {\tt CALL} statement or function invocation, then the assertion is more subtle. \begin{itemize} \item If a {\it local-var-list\/} appears in the {\tt RESIDENT} directive, then no assertion is made about behavior within the called procedure. For example, consider the statements: \CODE !HPF$ RESIDENT( A(I), B ) A(I) = F( A(I), B(LO:HI) ) \EDOC The directive declares all variable refences in the statement (including the actual parameters) to be local to the current {\tt ON} processor set. However, the execution of {\tt F} itself could access elements of arrays named {\tt A} and {\tt B} stored on arbitrary processors. \begin{rationale} Propagating assertions about the behavior of lexical entities is difficult to define consistently and usefully. For example, consider the following function called from the code fragment above: \CODE REAL FUNCTION F( X, Y ) REAL X, Y(:), B(I) !HPF$ ENVIRONMENT :: ON HOME(X) !HPF$ INHERIT Y !HPF$ ALIGN B(:) WITH Y(:) INTEGER I USE MODULE_DEFINING_A Z = 0.0 DO I = 1, SIZE(Y) Z = Z + A(I)*X + B(I)*Y(I) END DO F = Z END \EDOC Assume {\tt A} is defined as a distributed, global array in module {\tt MODULE\_DEFINING\_A}. What should the {\tt RESIDENT} clause mean regarding operations in {\tt F}? The expression {\tt A(I)} in the {\tt RESIDENT} directive might reasonably mean references only to the array {\tt A} that is visible in the caller, or it might mean references to any array named {\tt A}. Note that the {\tt A} in the caller may be local, the same global array as the {\tt A} in {\tt F} (if the caller used {\tt MODULE\_DEFINING\_A}), or a different global array (if the caller used a different module). Perhaps a limiting case is array {\tt B}. The array {\tt B} in function {\tt F} is local, and thus different from the caller; however, because of the restrictions on {\tt ON} clauses it is certain that the local {\tt B} will be mapped to the {\tt ON} processors set. Thus, the {\tt RESIDENT} assertion is trivially true. To further confuse matters, {\tt RESIDENT} variables might seem to apply to dummy arguments that become associated with those variables. Unfortunately, this implies that the lexical expression {\tt B} in the caller refers to the lexical expression {\tt Y} in {\tt F}, which stretches the definition of ``lexical'' beyond the breaking point. For all these reasons, it was decided to limit the meaning of named variables in {\tt RESIDENT} clauses to the lexical scope of the directive. \end{rationale} \item If the {\tt RESIDENT} directive does not contain a {\it local-var-list}, then the directive asserts that all references in the caller {\em and the called procedures\/} are local as defined above. For example, consider the statements: \CODE !HPF$ RESIDENT A(I) = F( A(I), B(LO:HI) ) \EDOC The directive declares all variable refences in the statement (including the actual parameters) to be local to the current {\tt ON} processor set, and that {\tt F} itself does not reference or update any nonlocal variables. \begin{rationale} The {\tt RESIDENT} assertion is always true for data local to the called procedure. This is true because the called procedure must use a declarative {\tt ON} clause, which in turn limits the set of processors that can store any local explicitly mapped variables. The above definition extends this assertion to all global explicitly mapped data, producing a very powerful directive. This is similar to the meaning of {\tt INDEPENDENT}, in that it also makes an assertion about variable accesses in any called procedure in the loop. An alternative semantics for {\tt RESIDENT} would have been to avoid propagating the assertion interprocedurally (i.e. treat both the variable-list version and the no-list version the same). However, this would not provide enough information to optimize code on certain machines. In particular, it would have made task parallelism quite difficult on message-passing machines. \end{rationale} \end{itemize} \begin{implementors} {\tt RESIDENT} without a variable list guarantees that no one-sided communication outside of the {\tt ON} processor set will be generated by the callee. Such a procedure can be called only on the ``active'' processors, unless the runtime system has additional constraints (for example, if the runtime system requires all processors to participate in collective communications). The other forms of {\tt RESIDENT} provide information that could be propagated interprocedurally. For example, if the actual argument to a subprogram is asserted to be {\tt RESIDENT} and is passed transcriptively, then anything that is {\tt ALIGN}ed to it in the callee will also be {\tt RESIDENT}. If the information is not propagated, the only result will be less optimization. \end{implementors} \begin{users} Although the {\tt RESIDENT} assertion applies interprocedurally, it is by no means certain that all compilers will make use of this information. In particular, separate compilation limits the propagation that can take place. It is therefore good practice to include a {\tt RESIDENT} clause both in the caller's {\tt ON} directive and in the callee. (This assumes that the assertion is true, of course!) This ensures that the compiler has the {\tt RESIDENT} information available when it is compiling both ends of the procedure call. This is especially useful for {\tt RESIDENT} clauses without a variable list; knowing that all data accessed is local allows many optimizations that are not otherwise possible. \end{users} \subsection{Examples of RESIDENT Directives} \label{sub-res-exapmles} As in Section~\ref{sub-on-examples}, our aim here is to suggest idioms that may be generally useful to programmers. We begin by expanding on two earlier examples. {\tt RESIDENT} is most useful in cases where the compiler cannot detect access patterns. Often this arises due to the use of indirection, as in the following examples: \CODE REAL X(N), Y(N) INTEGER IX1(M), IX2(M) !HPF$ PROCESSORS P(NP) !HPF$ DISTRIBUTE (BLOCK) ONTO P :: X, Y !HPF$ DISTRIBUTE (BLOCK) ONTO P :: IX, IY !HPF$ INDEPENDENT DO I = 1, N !HPF$ ON HOME( X(I) ), RESIDENT( Y(IX(I)) ) X(I) = Y(IX(I)) - Y(IY(I)) END DO !HPF$ INDEPENDENT DO J = 1, N !HPF$ ON HOME( IX(J) ), RESIDENT( Y ) X(J) = Y(IX(J)) - Y(IY(J)) END DO !HPF$ INDEPENDENT DO K = 1, N !HPF$ ON HOME( X(IX(K)) ), RESIDENT( X(K) ) X(K) = Y(IX(K)) - Y(IY(K)) END DO \EDOC As we saw in Section~\ref{sub-on-examples}, {\tt X(I)} is always local in the {\tt I} loop and {\tt IX(I)} and {\tt IY(I)} rarely are. The {\tt RESIDENT} directive above ensures that {\tt Y(IX(I))} is local as well. This would most likely be due to some property of the algorithm that generated {\tt IX} (for example, if {\tt IX(I)=I} for all {\tt I}). Note that it is possible for an expression (e.g. {\tt Y(IX(I))}) to be local even though one of its subexpressions ({\tt IX(I)}) is not. The directive gives no information about {\tt Y(IY(I))}; it might have only one nonlocal value, or all its values might be nonlocal. (We assume that if there were no nonlocal values, then the {\tt RESIDENT} clause would include {\tt Y(IY(I))} as well.) If there are many local elements referenced by this expression, and they can easily be separated from the local elements, then it may be worthwhile to restructure the loop to make this clear to the compiler. For example, suppose that we knew that only the ``first'' and ``last'' {\tt X} elements on each processor were nonlocal. The loop could then be split thus: \CODE !HPF$ INDEPENDENT, NEW(LOCALI) DO I = 1, N !HPF$ ON HOME( X(I) ), RESIDENT( Y(IX(I)), Y(IY(I)) ) BEGIN LOCALI = MOD(I,N/NP) IF (LOCALI\=1 .AND. LOCALI\=0) THEN X(I) = Y(IX(I)) - Y(IY(I)) END IF !HPF$ END BEGIN END DO !HPF$ INDEPENDENT, NEW(LOCALI) DO I = 1, NP !HPF$ ON (P(I)), RESIDENT( X(LOCALI), Y(IX(LOCALI)) ) BEGIN LOCALI = (I-1)*N/NP X(LOCALI) = Y(IX(LOCALI)) - Y(IY(LOCALI)) LOCALI = I*N/NP X(LOCALI) = Y(IX(LOCALI)) - Y(IY(LOCALI)) !HPF$ END BEGIN END DO \EDOC The first loop (inefficiently) processes the local elements of {\tt Y(IY(I))}, while the second (more efficiently) handles the rest. On most machines, it would pay to rewrite both loops to avoid the division operations, for example by creating a logical mask {\em a priori}. In the {\tt J} loop, the {\tt RESIDENT} clause asserts that all accessed elements of {\tt Y} are local. In this case, that is equivalent to the assertion \CODE !HPF$ RESIDENT( Y(IX(J)), Y(IY(J)) ) \EDOC Although the original {\tt RESIDENT} clause only referred to the lexical expression {\tt Y}, the compiler can infer that the subexpressions are also local. This is because it is impossible for a subobject to be on a different processor than the ``parent'' object is. This observation can often shorten {\tt RESIDENT} clauses substantially. In the {\tt K} loop, the following references are local: \begin{itemize} \item {\tt Y(IX(K))}, because {\tt Y} has the same distribution as {\tt X} and {\tt X(IX(K))} is local (due to the {\tt ON} clause). \item {\tt X(K)}, because of the {\tt RESIDENT} clause. \end{itemize} Note that a reference may be local even if it does not appear explicitly in a {\tt RESIDENT} clause. One mark of a good compiler will be that it aggressively identifies these elements. Locality information is particularly critical interprocedurally. Here, the {\tt RESIDENT} directive without a {\it local-var-list\/} can be used to good advantage. Consider the following extension of the block-structured example from Section~\ref{sub-on-subr}: \CODE !HPF$ PROCESSORS PROCS(NP) !HPF$ DISTRIBUTE X(BLOCK) ONTO PROCS ! Compute ILO(IP) = lower bound on PROCS(IP) ! Compute IHI(IP) = upper bound on PROCS(IP) DONE = .FALSE. DO WHILE (.NOT. DONE) !HPF$ INDEPENDENT DO IP = 1, NP !HPF$ ON (PROCS(IP)), RESIDENT CALL SOLVE_SUBDOMAIN( IP, X(ILO(IP):IHI(IP)) ) END DO !HPF$ ON HOME(X) BEGIN CALL SOLVE_BOUNDARIES( X, ILO(1:NP), IHI(1:NP) ) !HPF$ RESIDENT DONE = CONVERGENCE_TEST( X, ILO(1:NP), IHI(1:NP) ) !HPF$ END BEGIN END DO \EDOC Recall that the {\tt INDEPENDENT} {\tt IP} loop performs a computation on each subdomain's interior, where a subdomain is mapped to a particular processor. The first {\tt RESIDENT} clause additionally informs the compiler that no subdomain uses data from another processor. Without this information, the compiler would have to assume a worst-case scenario in which each subdomain performed its updates based on non-local read-only data. Any nonlocal data could not be written by another processor without violating the {tt INDEPENDENT} directive; however, if the data were not updated (for example, a large lookup table) it could be stored remotely. Particularly on nonshared-memory machines, access to this remote data would be difficult. The {\tt RESIDENT} clause ensures that this possibility need not be considered. All data required by {\tt SOLVE\_SUBDOMAIN} is stored locally. The second {\tt RESIDENT} clause asserts that all data for {\tt CONVERGENCE\_TEST} is stored on the same processors that store {\tt X}. The same cannot be said for {\tt SOLVE\_BOUNDARIES}, which does not fall in the scope of the {\tt RESIDENT} directive. For example, there might be a processors arrangement other than {\tt PROCS} with necessary data. Accessing this data might well cause a bottleneck in the computation as described above. Again, note the usefulness of {\tt RESIDENT} clauses in giving the compiler information. Few compilers would be able to unravel nontrivial assignments to ILO and IHI, and no current compiler would even attempt to understand the comments in the above code fragment. End of advice to programmers. Because it is an assertion of act, the compiler can draw many inferences from a single {\tt RESIDENT} clause. For example, consider the following case: \CODE !HPF$ ALIGN Y(I) WITH X(I) !HPF$ ALIGN Z(J) WITH X(J+1) !HPF$ ON HOME( X(K) ), RESIDENT( X(INDX(K)) ) X(K) = X(INDX(K)) + Y(INDX(K)) + Z(INDX(K)) \EDOC The compiler is justified in making the following assumptions in compiling the assignment statement (assuming it honors both the ALIGN directives and the {\tt ON} directive): \begin{itemize} \item {\tt X(K)} requires no communication (because of the {\tt HOME} clause) \item {\tt X(INDX(K))} requires no communication (because of the {\tt RESIDENT} clause) \item {\tt Y(INDX(K))} requires no communication (because {\tt Y} has the same mapping as {\tt X}, and {\tt INDX(K)} clearly cannot change values between its use in the two references {\tt X(INDX(K))} and {\tt Y(INDX(K)))} \end{itemize} The compiler cannot make any assumption about {\tt INDX(K)} or {\tt Z(INDX(K))} from the above code. There is no indication how {\tt INDX} is mapped relative to {\tt X}, so the {\tt ON} directive gives no guidance. Note that the fact that an expression (here, {\tt X(INDX(K))}) is local does not imply that its subexpressions (here, {\tt INDX(K)}) are also local. Similarly, {\tt Z}'s mapping does not determine if {\tt Z(INDX(K))} would be local; it indicates that {\tt Z(INDX(K)-1)} is local, but that isn't a great help. If the compiler has additional information (for example, {\tt X} is distributed by {\tt BLOCK} and {\tt INDX(K)} is not near a block boundary), it might be able to make additional deductions. \begin{implementors} One mark of a good compiler will be that it aggressively propagates {\tt RESIDENT} assertions. This is likely to significantly reduce communication costs. Note the cases under "Advice to users" below. \end{implementors} \begin{users} One can expect compilers to differ in how aggressive they are in drawing these deductions. Higher-quality compilers will be able to identify more references as local, and use this information to eliminate data movement. All compilers should recognize that if an element of one array is local, then the same element of any other arrays with the same static mapping (i.e. arrays {\tt ALIGN}ed together, or with the same {\tt DISTRIBUTE} pattern and array size) will also be local. That is, any compiler should recognize {\tt Y(INDX(K))} in the above example as local. Dynamically changing array mappings (i.e. {\tt REALIGN} and {\tt REDISTRIBUTE}) will tend to limit such information and information propagation. Also, assignments that might change subexpressions (for example, an assignment to {\tt K} or any element of {\tt INDX} in the above example) will force the compiler to be conservative in its deductions. \end{users} \section{The TASK\_REGION Directive} \label{sec-tasking} Task parallelism is expressed implicitly in HPF by mapping data objects onto subsets of processors and adding assertions that allow concurrent execution of different code blocks on different processor subsets. A data objects is mapped to a processor subset by distribution onto a subsection of a processor arrangement. Execution on a subset of processors is specified by using an {\tt ON} directive. This section introduces a {\tt TASK\_REGION} directive that allows the user to implicitly specify that disjoint processor subsets can execute blocks of code concurrently. A {\tt TASK\_REGION} construct is used to assert that a block of code satisfies the following set of constraints. All lexically outermost {\tt ON} blocks inside a task region must have a {\tt RESIDENT} attribute implying that all data accessed inside them is mapped to the corresponding processor subset. Further, the code inside two such {\tt ON} blocks must not have interfering I/O. Under these constraints, two such {\tt ON} blocks can safely execute concurrently if they execute on disjoint processor subsets. \subsection{Syntax of the TASK\_REGION Directive} %[CHUCK : Could you replace this with a BNF - I suspect % it will take you 5 mins and will take me much longer] A task region is a single entry region delimited by: \CODE !HPF$ TASK REGION ...... !HPF$ END TASK REGION \EDOC \subsection{Semantics of the TASK\_REGION Directive} The task region directive is a way for the programmer to assert that a section of code satisfies a set of conditions. The compiler is expected to use these assertions to generate task parallel code. We will refer to a block of code enclosed by a {\tt TASK\_REGION ... END TASK\_REGION} pair as a ``task region''. A task region can contain blocks of code that are directed to execute {\tt ON} processor subsets. All other code executes on a subset that contains all executing processors. Every {\tt ON} block at the outermost nesting level (i.e. not inside another {\tt ON} block or another task region) inside a task region is defined as a ``lexical task''. Every execution instance of a lexical task is defined as an ``execution task'' and will also be referred to as just ``task'' when the distinction is clear from the context. The following restrictions must hold inside a task region: \begin{itemize} \item Every {\tt ON} block corresponding to a lexical task must have the {\tt RESIDENT} attribute. This means that, for reading a variable inside an execution task, the executing processor subset for the task (also referred to as {\em active processors}) must own at least one copy of the variable, and for writing, they must own all copies of that variable. \item An I/O operation inside an execution task may interfere with an I/O operation inside another execution task if and only if the two tasks execute on identical subsets of processors. Note that two execution tasks can be instances of the same or different lexical tasks. In general, two I/O operations interfere if they access the same file or unit. The conditions for interference of I/O operations are detailed in Section~\ref{sub-independent} in the context of the {\tt INDEPENDENT} directive. \end{itemize} \subsection{Execution Model and Usage} A task region does not introduce a fundamentally new execution model. However, the asssertions implicit in a task region imply that only the specified executing processors of an execution task need to participate in its execution, and that other processors can skip its execution. A processor executing a task region participates in the execution of all tasks executing on a processor subset that it belongs to and does not participate in the execution of tasks executing on processor subsets that it does not belong to. Code outside lexical tasks is executed as normal data parallel code by all processors. The access restrictions for a task region guarantee that the results obtained by this execution paradigm will be consistent with pure data parallel execution of a task region. A task region presents a simple yet powerful model to write integrated task and data parallel programs. We illustrate three basic computation structures in which task parallelism can be effectively exploited with this model. \begin{enumerate} \item {\em Parallel sections:} A task region can be used to divide the available processors into disjoint sets for performing independent computations, simulating what is often referred to as {\em parallel sections}. This form of task parallelism is relatively straightforward and useful in many application scenarios, an example being multiblock applications. The task region simply contains a sequence of {\tt RESIDENT ON} blocks on disjoint processor subsets. Note that the division of processors among subsets can be dynamic, that is, it can be in terms of other variables computed during execution. \item {\em Nested parallelism:} Task regions can be nested, and in particular, a subroutine call made from an execution task can further subdivide the executing (or active) processors using another task region directive. This allows the exploitation of nested parallelism. An example is the implementation of dynamic tree structured divide and conquer computations. As a specific example, {\em quicksort} can be implemented by recursively partitioning the input array of keys around a pivot and assigning proportionate number of processors to the two new arrays obtained as a result of partitioning. \item {\em Data parallel pipelines:} Task regions can be used to implement pipelined data parallel computations. We will illustrate this with a 2 dimensional fast Fourier transform (2D FFT) computation. The first stage of a 2D FFT reads a two dimensional matrix and performs a 1 dimensional FFT on each row of the matrix. The second stage performs a 1 dimensional FFT on each column of the matrix and generates the final output. In a pipelined data parallel implementation of this form of 2D FFT, the two stages are mapped on to disjoint subsets of processors. Task and data parallel code for a 2D FFT, along with a brief description, is included in Section~\ref{sec:2DFFT}. \end{enumerate} \subsection{Implementation} A task region is simply an assertion about a code block and the exploitation of task parallelism is at least partially dependent on the compilation scheme. While the specifics of how task parallelism is exploited will be strongly dependent on the parallel system architecture, the compiler, and the underlying communication model, we will point out some important considerations and illustrate task parallel code generation with an example. We primarily address distributed memory machines using a message passing communication and synchronization model, but will point out some of the important issues relating to shared memory implementations. \subsubsection{Localized computation and communication} It is of central importance that computation and communication inside an executing task should not involve any processors other than those directed to execute the task in the relevant {\tt ON} clause. On entry to a lexical task, the compiler has to insert checks so that the processors not in the relevant subset jump to the code following the task. Since an execution task cannot access data outside of the active executing processor subset, no communication needs to be generated between the relevant executing processors and other processors. In a message passing model, a communication generation algorithm that only generates necessary messages will naturally achieve the desired results. However, some communication schemes can involve generation of empty messages between processors that do not communicate and it is important to ensure that empty messages are not generated between active processors of an executing task and other processors. A communication model that uses barriers for synchronization (in shared or distributed memory machines) must ensure that all barriers inside an executing task are subset barriers that only span the active processors. An implementations may also need to include a subset barrier on entry and exit to an executing task for consistency of data accesses inside and outside an executing task. In general, the compilation framework has to ensure the consistency of data accesses inside and and outside an executing tasks and this can be done in the context of virtually any synchronization scheme in a shared or distributed memory environment. \subsubsection{Replicated computations} All computations exclusively involving replicated variables should be replicated on all executing processors. A simple alternative is that one processor performs the computation and broadcasts the results to all processors. While such replication is generally profitable in HPF anyway, it has additional importance in a task region since the communication generated by a broadcast can cause additional synchronization that may interfere with task parallelism. \subsubsection{Implications for I/O} In some parallel system implementations, I/O is performed through a single node of the system. Task parallelism in the presence of I/O assumes that all nodes can perform I/O independently and this paradigm has to be supported, although it is not necessary that each node be able to physically perform all I/O operations independently. One simple solution is to have a single designated I/O processor that performs all I/O but is not considered an executing processor and hence does not have any execution related dependences. \subsubsection{SPMD or MIMD code generation} Another issue for the compiler is whether or not the same code image should execute on all processors. Since different processor groups may need different variables, a naive SPMD implementation is likely to be wasteful of memory since it must allocate all variables on all processors. This can be addressed by dynamic memory allocation, but at the cost of added complexity. Using different code images for different processor subsets is another solution which leads to significant added complexity. \subsection{Example: 2-D FFT} \label{sec:2DFFT} This sections shows the use of task parallelism to build a pipelined data-parallel 2-dimensional FFT and illustrates the compilation of task parallelism by showing SPMD code generated from the HPF program. The basic sequential 2DFFT code is as follows: \CODE REAL, DIMENSION(n,n) :: a1, a2 DO WHILE(.true.) READ (unit = 1, end = 100) a1 CALL rowffts(a1) a2 = a1 CALL colffts(a2) WRITE (unit = 2) a2 CYCLE 100 CONTINUE EXIT ENDDO \EDOC To write a pipelined task and data parallel 2D FFT in HPF, the code is slightly modified and several HPF directives are added. First, variables {\tt a1} and {\tt a2} are distributed onto disjoint subsets of processors, and then a task region is used to create two lexical tasks to do {\tt rowffts} and {\tt colffts} on different subsets of processors. The assignment {\tt a2 = a1} in the task region specifies transfer of data between the tasks. A new variable {\tt done1} is introduced to store the termination condition. The modified code is as follows: \CODE REAL DIMENSION(n,n) :: a1,a2 LOGICAL done1 !HPF$ PROCESSORS procs(8) !HPF$ DISTRIBUTE a1(block,*) ONTO procs(1:4) !HPF$ DISTRIBUTE a2(*,block) ONTO procs(5:8) !HPF$ TEMPLATE, DIMENSION(4), DISTRIBUTE(BLOCK) ONTO procs(1:4) :: td1 !HPF$ ALIGN WITH td1(*) :: done1 !HPF$ TASK REGION done1 = .false. DO WHILE (.true.) !HPF$ ON HOME(procs(1:4)) BEGIN, RESIDENT READ (unit = iu,end=100) a1 CALL rowffts(a1) GOTO 101 100 done1 = .true. 101 CONTINUE !HPF$ END ON IF (done1) EXIT a2 = a1 !HPF$ ON HOME(procs(5:8)) BEGIN, RESIDENT CALL colffts(a2) WRITE(unit = ou) a2 !HPF$ END ON ENDDO !HPF$ END TASK REGION \EDOC Finally, we show simplified SPMD code generated for each processor. We assume a message passing model where sends are asynchronous and nonblocking and receives block until the data is available. We use a simple memory model where variable declarations are identical across all processors even though some variables will be referenced only on subsets of the processors. A shadow variable {\tt done1\_copy} is created by the compiler to transfer information from processor subset 1 to processor subset 2 about termination of processing. The code is as follows: \CODE REAL DIMENSION(n/4,n) :: a1, a2 BOOLEAN done1 C Following are compiler generated variables BOOLEAN done1_copy BOOLEAN inset1, inset2 C C Following magic compiler function call is to set the variables C inset1 and inset2 to .true. for subset1 and subset 2 processors C respectively, and .false. otherwise. C CALL intialize_tasksets(inset1,inset2) C Code for processor subset 1 IF (inset1) done1 = .false. DO WHILE (.true.) READ (unit = 1,end=100) a1 CALL rowffts(a1) GOTO 101 100 done1 = .true. 101 CONTINUE _send(done1,procs(5:8)) IF (done1) EXIT _send(a1,proces(5:8)) ENDDO ENDIF C Code for processor subset 2 IF (inset2) DO WHILE(.true.) _receive(done1_copy,procs(1:4)) IF (local_done1) EXIT _receive(a2,procs(1:4)) CALL colffts(a2) WRITE (unit = 2) a2 ENDDO ENDIF \EDOC {\tt \_send} and {\tt \_receive} are communication calls to transfer variables between subsets of processors. Program execution until the end of input is as follows. Subset 1 processors repeatedly read input, compute {\tt rowffts}, and send the computed output as well as {\tt done1} flag (which is not set) to subset 2 processors. The subset 2 processors receive the flag and the data set, compute {\tt colffts} and write the results to the output. When the end of input is reached, subset 1 processors set the flag {\tt done1} , send it and terminate execution. Subset 2 processors receive the flag, recognise that the end of input has been reached, and terminate execution. --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe --------------------------------------------------------------------------- From owner-hpff-doc Thu Aug 29 17:31:26 1996 Received: (from daemon@localhost) by cs.rice.edu (8.7.1/8.7.1) id RAA24500 for hpff-doc-out; Thu, 29 Aug 1996 17:31:26 -0500 (CDT) Received: from newcs.ucsd.edu (newcs.ucsd.edu [132.239.51.18]) by cs.rice.edu (8.7.1/8.7.1) with ESMTP id RAA24491 for ; Thu, 29 Aug 1996 17:31:21 -0500 (CDT) Received: from gili.ucsd.edu (gili.ucsd.edu [132.239.15.23]) by newcs.ucsd.edu (8.7.5/CSE-External-1.4) with ESMTP id PAA14701 for ; Thu, 29 Aug 1996 15:31:22 -0700 (PDT) Received: (from baden@localhost) by gili.ucsd.edu (8.7.5/CSE-Internal-1.1) id PAA21060 for hpff-doc@cs.rice.edu; Thu, 29 Aug 1996 15:31:20 -0700 (PDT) Date: Thu, 29 Aug 1996 15:31:20 -0700 (PDT) From: "Scott B. Baden" Message-Id: <199608292231.PAA21060@gili.ucsd.edu> To: hpff-doc@cs.rice.edu Subject: hpff-doc: Changes to spmd-hpf-ext.tex Sender: owner-hpff-doc Precedence: bulk --------------------------------------------------------------------------- hpff-doc@cs.rice.edu is a mailing list for HPF 2.0 language specification authors and editors. Instructions for adding or deleting yourself from this list appear at the bottom of this message. --------------------------------------------------------------------------- I've cleaned this up a bit and also brought it in line with Extrinsic Approved Extension chapter. Scott % File: spmd-to-hpf-ext.tex % Contents: % Proposed Extension for SPMD interface to HPF for HPF 2.0 document % Revision history: % Aug-8-96 Created by Scott B. Baden, UCSD % Aug-15-96 Scott B. Baden, UCSD % Aug-29-96 Scott B. Baden, UCSD \chapter{Proposed Extension for SPMD calling HPF} \label{ch-spmd-hpf} {\em Comments on this chapter should be directed to Scott Baden ({\tt baden@cs.ucsd.edu}) and {\tt hpff-doc@cs.rice.edu}. Please use ``{\tt Comments on SPMD-to-HPF}'' as the {\tt Subject:} line. \par } \newcommand{\PROCS} {{\tt PROCESSORS} } \newcommand{\HPFINIT} {{\tt HPF\_INIT} } \newcommand{\HPFLOCAL} {{\tt EXTRINSIC(HPF\_LOCAL)}} \newcommand{\MAD} {{\tt MAD}} \newcommand{\CPP} {{\tt C++}} \newcommand{\MA} {{\tt MAPPED\_ARRAY}} \newcommand{\TMA} {{\tt TO\_MAPPED\_ARRAY}} \newcommand{\TOLOCAL} {{\tt TO\_LOCAL}} \newcommand{\offset}[1]{\begin{center} \tt #1 \end{center}} % ******************** Start of Document ******************** \section{SPMD Coordination of HPF} \label{f90-locals} The current HPF standard does not address the problem of coordinating the concurrent execution of multiple HPF procedure invocations, nor their interaction via an SPMD harness written in an extrinsic language such as \CPP. We propose an interface for coordinating concurrently executing HPF procedures from an extrinsic SPMD layer. This interface requires neither language extensions nor new language features, and requires only a handful of library entries that access the HPF run time system. The proposed interface is language-independent. It enables inter-operability between software components developed in different languages. Note: Chuck Koelbel and Joel Saltz assisted in the development of this proposal. \section{Programming Model} Our model comprises multiple HPF invocations that interact with each other concurrently. Separate HPF invocations will be orchestrated via an SMPD program, and may or may not involve the identical code. HPF invocations will import scalars and global arrays allocated from the SMPD program. The primary concern here in how to deal with global arrays. The SPMD code which controls the interaction of multiple HPF invocations may be written in \HPFLOCAL\ or another extrinsic language, e.g. \CPP. We will use \HPFLOCAL\ here. Other possibilities include multiple HPF programs that communicate by calling an extrinsic SPMD program, which have been addressed elsewhere in this document. The discussions in this chapter augment those outlined in the \HPFLOCAL\ interface with extensions that may facilitate coordination via extrinsic languages like \CPP. \section{The Interface} Our proposed interface specifies the interaction of an SPMD program, written in an extrinsic language, that calls HPF. The interface supports the allocation of, and access to, HPF global arrays from the SPMD coordinating code. SPMD code views each HPF global array as an entity called a {\em mapped array} which will refer to as a \MA. \subsection{Mapped Arrays} It is assumed that the HPF compiler translates a call to an HPF entry as follows. First, an implementation-specific {\em name-mangling} rule is applied to the entry name to conform with linkage conventions. Second, each global array argument is converted to a \MA\ argument. (Scalars are passed unchanged.) The conversion process in implementation-dependent. For example, some implementations convert each global array argument into a pair of arguments: a {\em mapped array descriptor} or \MAD\, and a pointer to the start of the local storage for the mapped array. In this case two arguments would actually be passed for each mapped array argument, though the number and representation of these arguments is generally implementation-dependent. By an abuse of notation we will refer to a mapped array reference as if it were a reference to value of a distinguished type \MA. While no such type may in fact exist, the notation simplifies the ensuing discussions. We will employ the notation \TMA{\tt (A)} to designate the desired conversion of global array argument {\tt A} to a reference of (the fictitious) type \MA. Thus, an argument of the form \TMA{\tt (A)} is understood to represent the \(k>1\) actual parameters, which might, for example, contain a corresponding \MAD\ and starting address. Similarly a declaration of the form \offset{MAPPED\_ARRAY(A)} is understood to declare \(k>1\) variables; in the above example, there would be one declaration for the \MAD, another for the starting address to the corresponding local data. As described below, the interface includes various entries for querying and manipulating \MA. This interface should be packaged as a module as described at the end of this chapter. This module must be {\tt USEd} in all program source files that employ the proposed interface. \subsection{SPMD Execution} This proposal defines a language-independent interface consisting of a set of entries that enables SPMD code written in an extrinsic language to communicate with HPF. Interfaces for other extrinsic languages, e.g. C are out of the scope of this document. We define SPMD execution as follows. An SPMD program executes on a {\em process group}. We identify an HPF \PROCS\ arrangement with a process group, and employ an opaque object called a {\em communicator} (as in MPI) to specify the group's membership. The advantage of this approach is that the values returned by {\tt NUMBER\_OF\_PROCESSORS} and {\tt PROCESSORS\_SHAPE} are well-defined, as are collective communication operations. %Note that it is possible to dynamically change the members of a process %group or to change the group's topology by modifying %attributes of the %communicator. Each process will be considered a physical processor by the HPF code. The called HPF program will have access to members of the process group. It will not, however, have direct access to processes outside that group. All members of a process group execute the same program in loosely synchronous fashion, collectively making calls to HPF procedures (including those defined by the proposed interface) {\em as if\ } at the same time. (Calls to HPF from SPMD may or may not need to be explicitly synchronized at a barrier.) As far as the HPF procedure is concerned, it will not know the origin of the argument, which could have in fact originated from another HPF program. It follows that the SPMD program is responsible for passing mapped arrays to an HPF procedure in conformance with the procedure's expectations, i.e. the distribution must match and so on. All invocations of HPF procedures in the process group must pass the same \MA\ in each corresponding position of the argument list (remembering that the accompanying local data will be generally be different for each invocation.) Scalar arguments must be consistent among all members of the process group. \begin{implementors} Implementation of the ``HPF-from-extrinsic'' interface will be facilitated with MPI. However, implementors are free to employ their own implementation strategy. Implementors who do not employ MPI need a mechanism for defining groups of processors that only talk to each other; non-MPI implementations will obviously treat these differently from MPI ones. The use of the proposed interface will be simplified by the provision of a macro called \TMA, to translate an HPF global array reference to a \MA, containing, in our above example, an appropriately formed \MAD\ and the start of a local data area. \end{implementors} \subsection{HPF Run Time Initialization} A call to a procedure \HPFINIT\ is required to establish various state needed by the HPF run time system, that will, for example, enable, the processor to determine `who it is.' \HPFINIT\ must be passed a communicator corresponding to the process group used to invoke the HPF program(s). Successive calls to \HPFINIT\ may be used to set up alternative \PROCS\ topologies or as required to invoke HPF code on different processor groups. \begin{implementors} \HPFINIT\ should extract the \PROCS\ topology from the communicator passed into it. A mechanism is required for managing MPI-style communicators; either MPI will be available from the SPMD program, or the implementor must provide equivalent functionality. \end{implementors} Two or more HPF invocations may be simultaneously active if they execute on different communicators with disjoint process groups. To achieve this, the individual groups each define their own communicator. The separate communicators are then used by \HPFINIT\ to establish the communication domains. To handle multiple HPF invocations across different processing groups, the SPMD coordinating code may need to explicitly query each processor for membership within the desired communicator. For example, if we are invoking procedures {\tt A1, A2} on one processor group, and procedure {\tt B} on another, then we employ the following: \begin{verbatim} ! Set up the processor groups call HPF_INIT(GroupA, ...) call HPF_INIT(GroupB, ...) ! isMember( ) determines membership within the respective communicators if ( isMember(GroupA)) then call A1(...) call A2(...) else if ( isMember(GroupB)) then call B(....) end if \end{verbatim} HPF programs associated with overlapping communicators can also be defined, but require additional system support to execute in parallel. (In effect, the underlying system must allow multi-threading to allow the process(es) in the overlap to participate in both HPF programs at once.) Such support may be desirable, but is not mandated by this proposal. Overlapping communicators could, however, be useful in different phases. For example, one phase might use 8 processes, followed by another phase using only 4. The programmer could accomplish this by creating an 8-process communicator and a 4-processes communicator with a subset of the processes. \HPFINIT\ would have to be called to establish the communicator for each phase to alert the HPF runtime that a different communicator was in use. Regardless of how the communicators are set up, an HPF procedure has access only to the process group associated with the communicator in the last executed \HPFINIT\ call. This allows us to define {\tt NUMBER\_OF\_PROCESSORS} to return the number of processes in that communicator, and similarly make consistent definitions for the other HPF inquiry procedures. It follows that SPMD code must invoke an HPF procedure on {\em exactly} those processors in the intended processor group---no more an no less. This will likely be supported by a conditional statement which will determine membership within the respective communication domains established by SPMD program. Note that physical processors in different communicators may return different values for {\tt NUMBER\_OF\_PROCESSORS}, but they cannot be executing the same instantiation of an HPF procedure. This implies that actual arguments to an HPF procedure must all be allocated from the same process group, and that data motion between mapped arrays allocated to different process groups must be handled at the SPMD level. (MPI's inter-communicators allow precisely this sort of communication.) We restrict global data accessed in the HPF procedure in the same way. \subsection{Global Array Allocation From SPMD} The functionality required to support extrinsic SPMD coordination of HPF invocations centers on the ability to allocate, from the SPMD level, global (mapped) HPF arrays with a specified \PROCS\ arrangement, alignment, and decomposition. In the interest of simplicity, allocation will be restricted as follows. \begin{enumerate} \item Only arrays of builtin types are permitted, i.e. arrays of derived types are excluded. \item Only {\tt BLOCK, *, CYCLIC, } and {\tt CYCLIC(K)} decompositions are permitted. \item Only the identity alignment is permitted. Identically aligned arrays must have the same rank and extents. \end{enumerate} A process group dynamically allocates a mapped array using the call \noindent \subsubsection*{alloc\_mapped\_arrayTTT(A, NDIM, EXTENTS, DECOMP, [ALIGN])} \begin{tabular}{ll} {\bf OUT} A & a MAPPED\_ARRAY \\ {\bf IN} NDIM & number of dimensions \\ {\bf IN} EXTENTS & extents of the indices of the array ({\tt 2*NDIM} entries) \\ {\bf IN} DECOMP & decomposition ({\tt NDIM} entries) \\ {\bf IN} ALIGN & a previously allocated \MA\ (optional) \\ \end{tabular} \vspace{0.1in} \noindent {\tt TTT} is one of 5 builtin HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} The first argument actually refers to the global array to be allocated by HPF. The {\tt NDIM} and {\tt EXTENT} arguments specify the number and extent of the array axes, the {\tt DECOMP} argument their decomposition across processors. Each element of {\tt DECOMP} must be one of the following predefined names: \offset{SERIAL, BLOCK, CYCLIC, CYCLIC(K)} \noindent where {\tt CYCLIC(K)} will be mapped onto distinct values for distinct values of {\tt K.} The final argument is optional; it is specifies an existing array to which the newly-allocated array will be aligned. Such allocations are restricted to identity alignments only; the {\tt NDIM, EXTENTS,} and {\tt DECOMP} specifications must also be identical as well. \subsection{Data Access} The extrinsic SPMD layer may access a global array through a \MA\ reference. The interface does not permit direct access to the \MA, however, since manufacturers need flexibility in representing a mapped array. Rather, it treats a \MA\ as an opaque object, and provides primitives to query the global array---e.g. determine global shape, local shape, decomposition, and so on---or to modify it. The SPMD programmer has two means of accessing a mapped array. The first way is via the \HPFLOCAL\ interface, which permits access to various descriptive information and to local data. The second way is through a new set of primitives that perform global copying, and may be used to access non-local data. \subsubsection{Local Data Access} For local data access we use the \HPFLOCAL\ interface (see \ref{hpf-local}), adapted as follows for the task at hand. \begin{enumerate} \item All mapped HPF arrays accessible from an SPMD procedure are logically carved up into blocks; the SPMD process executing on a particular physical processor sees an array containing just those elements of the global array that are mapped to that physical processor. \item The model assumes that array axes are mapped independently to axes of a rectangular \PROCS\ grid, each array axis to at most one \PROCS\ axis (no ``skew" distributions) and no two array axes to the same \PROCS\ axis. This restriction suffices to ensure that each physical processor contains a subset of array elements that can be locally arranged in a rectangular configuration (of course to compute the global indices of an element given its local indices or vice verse, may be quite a tangled computation-- but it will be possible) \item The portion of a mapped array argument in an {\tt HPF\_LOCAL} subprogram associated with a global array dummy argument in an HPF program may be accessed in a block-by-block fashion. Library procedures such as {\tt LOCAL\_BLKCNT}, {\tt LOCAL\_LINDEX}, and {\tt LOCAL\_UINDEX}, allow easy access to the local storage of a particular block. \end{enumerate} \begin{implementors} Random access to the elements of a mapped array is likely to be expensive, and a separate interface described below should be used to handle block copies. Implementations that employ ghost cells or shadow regions may need to provide the capability of accessing such additional data. This proposal does not specify how ghost cells are to be accessed or manipulated. \end{implementors} \subsubsection{HPF_LOCAL Primitives} Included are\\ \begin{tabular}{lll} {\tt GLOBAL\_ALIGNMENT} & {\tt GLOBAL\_DISTRIBUTION} & {\tt GLOBAL\_TEMPLATE } \\ {\tt GLOBAL\_LBOUND } & {\tt GLOBAL\_UBOUND } & {\tt GLOBAL\_SHAPE }\\ {\tt GLOBAL\_SIZE } & {\tt ABSTRACT\_TO\_PHYSICAL } & {\tt PHYSICAL\_TO\_ABSTRACT }\\ {\tt LOCAL\_TO\_GLOBAL } & {\tt GLOBAL\_TO\_LOCAL } & {\tt LOCAL\_BLKCNT }\\ {\tt LOCAL\_LINDEX } & {\tt LOCAL\_UINDEX} & {\tt MY\_PROCESSOR }\\ \end{tabular} \ \\ \noindent In order to use the \HPFLOCAL\ interface, we need a way of converting a \MA\ actual parameter into a form expected by the \HPFLOCAL\ library. To this end we define the macro \TOLOCAL, which takes a \MA\ argument and converts it into the appropriate representation expected by the \HPFLOCAL\ interface. For example, we consider the \HPFLOCAL library primitive {\tt GLOBAL\_SHAPE}. Assuming that global array {\tt A} has been allocated by the call \offset{alloc\_mapped\_array(TO\_MAPPED\_ARRAY(A),NDIM=2,EXTENTS=/(3,100,1,200/),...)} then the value returned by {\tt GLOBAL\_SHAPE(TO\_LOCAL(A))} is \VECTOR{98 200}. \subsubsection{Global Copying } The Interface also provides primitives for moving data over global sets of indices. The first primitive merely copies one array to another. \subsubsection*{copy\_mapped\_array\_TTT(SRC, DEST)} \begin{tabular}{r ll} {\tt IN} & {\tt SRC} & \MA -- source \\ {\tt OUT} & {\tt DEST} & \MA -- destination \\ \end{tabular} \noindent where {\tt TTT} is one of 5 built in HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} \noindent The source and destination descriptors may or may not be allocated to the same processor group. There is also a variant of {\tt copy\_mapped\_arrayTTT} that copies over designated array sections: \subsubsection*{copy\_mapped\_array\_secTTT(SRC, DEST, S\_SECT, D\_SECT)} \begin{tabular}{r ll} {\tt IN} & {\tt SRC} & \MA -- source \\ {\tt OUT} & {\tt DEST} & \MA -- destination \\ {\tt IN} & {\tt S\_SECT} & source array section specifier \\ {\tt IN} & {\tt D\_SECT} & destination array section specifier \\ \end{tabular} The array section specifiers are {\tt INTEGER} \(d\)-tuples (arrays) where \(d\) is the common rank of the arrays. The format of these tuples is \((r_0, r_1, ..., r_{d-1}\)) where each \(r_k\) specifies the integer range of indices for axis \(k\), i.e. the array section {\tt (3:4, 5:6)} is specified as {\tt /(3,4, 5,6/).} \begin{implementors} Though the {\tt copy\_mapped\_array\_secTTT( )} could be implemented using the \HPFLOCAL\ interface, doing so may not to be as efficient as taking advantage of direct access to layout information provided by the compiler. \end{implementors} \subsection{Summary of what is to be provided} In practice, multi-lingual programming can be given only minimal language and compiler support. Some installation-dependent coding is required, for example to handle name mangling, argument passing conventions, and so on. Such code is generally not portable. We propose an interface that does not rely on language extensions, yet which offers reasonable assurances of portability. To this end, we strongly recommend that Interfaces for SPMD applications inter-operating with HPF provide the following constants and entries and package them in a {\tt MODULE}. (In the case of {\tt f77, C,} or \CPP, these would be packaged as part of a header file, and probably contain a class definition in the case of \CPP.) In addition, certain macros should be defined as described below to facilitate manipulation of a \MA. \subsubsection*{Constants} \begin{tabular}{llll} {\tt SERIAL} & {\tt BLOCK} & {\tt CYCLIC} & {\tt CYCLIC(K)}\\ \end{tabular} Note: {\tt CYCLIC(K)} will probably be supported with a macro. \subsubsection*{Library Primitives} \begin{tabular}{ll} {\tt HPF_INIT} & {\tt alloc\_mapped\_arrayTTT}\\ {\tt copy\_mapped\_array\_TTT} & {\tt copy\_mapped\_array\_secTTT} \\ \end{tabular} \vspace{0.1in} \noindent Note: {\tt TTT} is one of 5 built in HPF types: \offset{REAL, DOUBLE PRECISION, COMPLEX, DOUBLE PRECISION COMPLEX, INTEGER.} \subsubsection*{Macros} It is recommended that the macro \TMA\ be provided to facilitate the handling of the multiplicity of values that comprise a \MA\ argument, and the macro \TOLOCAL\ to assist in using the \HPFLOCAL\ interface. The macro \MA\ is recommended for declaring a value of type \MA, e.g. \offset{MAPPED\_ARRAY(A)} declares a set of variables that collectively represent a \MA. \section{Programming Example} The application is to iteratively solve Poisson's equation on a 2-dimensional irregularly-shaped domain consisting of two coupled rectangular blocks of different sizes. The same solver is applied to each block. Because the blocks have different sizes we will allocate them to different size \PROCS\ subsets in order to balance the workloads. Prior to computing, each block must furnish boundary conditions that couple it to the other block. \CODE ! Example illustrating coordination from an extrinsic layer ! Solve the Laplace Equation on an irregular domain using Red/Black SOR ! The computational domain consists of two squares A&B ! sitting side by side and aligned with the y axis ! Square A is m x m, Square B is n x n extrinsic(hpf_local) program iter ! The MAPPED_ARRAY package is part of the interface ! It includes definitions for constants like BLOCK, SERIAL, ! the various routines that allocate global arrays, and so on use MAPPED_ARRAY ! This package specifies an HPF binding for MPI use MPI ! MAPPED_ARRAY() is a macro which declares the various pieces of information ! that make up a MAPPED_ARRAY MAPPED_ARRAY(A) MAPPED_ARRAY(B) ! Extents of A and B integer, array(4) :: A_EXT = /(0,m+1,0,m+1/), B_EXT = /(0,n+1,0,n+1/) ! Their decomposition: SERIAL corresponds to * in HPF integer, array(2) :: DECOMP = /(BLOCK,SERIAL/) real resid, convergence real function smooth real, parameter :: EPSILON = 0.001 ! Communicators Communicator COMM_A, COMM_B ! The size of the blocks are inputs to the program read *, m, n ! Allocate processors 0 to K-1 to block A, the remainder to block B ! The value of K is determined by the relative sizes of m & n ! ZERO_TO_KM1 and K_TO_PM1 are integer "color" arrays (i.e. MPI) ! specifying the membership of each processor in the respective groups ! Set up the process groups and communicators, one for each block call MPI_COMM_SPLIT(MPI_COMM_WORLD,ZERO_TO_KM1,DUMMY,COMM_A,IERROR) call init_HPF(COMM_A) call MPI_COMM_SPLIT(MPI_COMM_WORLD,K_TO_PM1,DUMMY,COMM_B,IERROR) call init_HPF(COMM_B) if (isMember(COMM_A) ! TO_MAPPED_ARRAY( ) converts the global array reference to a ! MAPPED_ARRAY. k>1 arguments may correspond to TO_MAPPED_ARRAY(A) call alloc_mapped_arrayREAL(TO_MAPPED_ARRAY(A), 2, A_EXT, DECOMP) if (isMember(COMM_B) call alloc_mapped_arrayREAL(TO_MAPPED_ARRAY(B), 2, B_EXT, DECOMP) convergence = 10.0 * epsilon do while ( convergence < epsilon ) ! Fill in the boundary cells mn = min(m,n) I0 = /(m+1,m+1,1,mn/) I1 = /(m,m,1,mn/) ! All processors in COMM_A and COMM_B must participate ! which in this case covers all processors in MPI_COMM_WORLD ! In a multiblock code with > 2 blocks, appropriate guards would be ! required to restrict execution of copy_mapped_array_secTTT( ), as ! 2 communicating grids would cover only a subset of MPI_COMM_WORLD call copy_mapped_array_secREAL(MAPPED_ARRAY(B),MAPPED_ARRAY(A),I0,I0) call copy_mapped_array_secREAL(MAPPED_ARRAY(B),MAPPED_ARRAY(A),I1,I1) ! Ensures that the global reductions are done correctly. residA = 0 residB = 0 ! These calls to HPF execute in different processor groups; their ! respective arguments were allocated with different communicators if (isMember(COMM_A)) residA = smooth(A) if (isMember(COMM_B)) residB = smooth(B) ! global reduction over all processes (MPI functionality) call _max_scalar_REAL(residA, MPI_COMM_WORLD) call _max_scalar_REAL(residB, MPI_COMM_WORLD) convergence = amax(residA, residB) enddo end program \EDOC \end{document} --------------------------------------------------------------------------- To (un)subscribe to this list, send mail to hpff-doc-request@cs.rice.edu. Leave the subject line blank, and in the body put the line (un)subscribe ---------------------------------------------------------------------------